Course Flowsheets

These interactive guides provide a semester-by-semester outline of the courses within a curriculum in a "flowsheet" format. The flowsheets enable students and advisors to visualize the pre-, co-, and post-requisites associated with a course. This tool provides a means for students to understand how courses within a curriculum are linked and provides guidance regarding course scheduling.

The effective academic year (AY) refers to the academic year a student is admitted to the major. Academic years listed with a red font represent years in which a curriculum revision was implemented. Please see the Undergraduate Catalog for detailed information regarding effective academic years.

Students can obtain the requirement term (map to effective academic year) associated with their major through the SEAS Portal.

If you have any issues using the flowsheets tool or need assistance, please contact the SEAS Office of Academic Affairs to meet with an academic advisor.

Plan:

Effective Academic Year:

Flowsheet for First Year
Flowsheet for First Year
Flowsheet for Transfer Students
Seamless Transfer

Freshmen Flowsheet for Computer Science BS
(Effective AY 2023-24 to AY 2024-25)

First Year		Second Year		Third Year		Fourth Year
Fall	Spring	Fall	Spring	Fall	Spring	Fall	Spring
MTH 141 MTH 141LR College Calculus 1 Lecture Beginning of a three-semester sequence in calculus for students of mathematics, natural sciences, and engineering. Covers differentiation and integration with applications. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. This course is the same as MTH 136 + 137 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req:70+ all parts of MRA, or C or better in ULC148, MTH108, 114, 115, 121, 131, D or better in MTH141, 3 on AP Calc or 4-5 on AP Pre-Calc or concurrent reg in MTH109 with C or better in MTH113 or MRA scores 70+ Math Fund AND Alg and 50-69 in Trig Calculus 1 CSE 115 CSE 115LLR Computer Science I Lecture Provides the fundamentals of computer science with an emphasis on applying programming skills to solve problems and increase human efficiency. Topics include variables, data types, expressions, control flow, functions, input/output, data storage, networking, security, selection, sorting, iteration and the use of aggregate data structures such as lists and more general collections. No previous programming experience required. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: Pre-calculus (MTH 115 or ULC 148 or MTH 113 or MTH 114) or appropriate math placement test scores or Co-Requisite of Calculus 1 (MTH 121 or MTH 131 or MTH 141, or MTH 136 or MTH 108). Intro to Computer Science I CSE 199 CSE 199SR UB Seminar Seminar The three credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps students with common learning outcomes focused on fundamental expectations for critical thinking, ethical reasoning, and oral communication, and learning at a university, all within topic focused subject matter. The Seminars provide students with an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 199 offered in any subject. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade of F or R may not be able to repeat the course during the fall or spring semester. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Students who have already successfully completed the first year seminar course may not repeat this course. If you have any questions regarding enrollment for this course, please contact your academic advisor. CSE 199 or Equivalent UB Seminar ENG 105 ENG 105LEC Writing and Rhetoric Lecture An introduction to research, writing, and rhetorical practices employed in academic and professional contexts. The course examines the operation of genres, the audiences they address, and the purposes they serve. The course focuses on the analysis and development of student writing and rhetorical practice. Assignments include research essays, digital compositions, and oral presentations. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: ENG 105 non-Z Requisite Communication Literacy 1	MTH 142 MTH 142LR College Calculus 2 Lecture Differentiation and integration of transcendental functions; infinite sequences; series and power series; integration methods; additional topics in analytic geometry. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. This course is the same as MTH 138 and MTH 139 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 141 or MTH 136 with MTH 137 as a co-requisite; Anti-Requisite MTH 138/139. Calculus 2 CSE 116 CSE 116LLB Computer Science II Lecture Students will continue to develop the skills introduced in CSE115 while exploring the details of program execution and the structure of large programs. Emphasizes design decisions that affect the efficiency, expandability, and maintainability of code while analyzing the differences amongst a variety of approaches. Design decisions analyzed include choice of data structures and object-oriented techniques such as encapsulation, polymorphism, and inheritance. Additional topics include the use of recursion, multithreading, parallelism, hardware, graph and tree traversals, asymptotic analysis, divide and conquer, databases, testing, and multi-language integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. Intro to Computer Science II CSE 191 CSE 191LR Intro Discrete Structures Lecture Foundational material for further studies in computer science. Topics include logic, proofs, sets, functions, relations, recursion, recurrence relations, mathematical induction, graphs, trees, basic counting theory, regular languages, and context free grammars. This course is the same as MTH 191 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. Discrete Structures Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 220 CSE 220LLB Systems Programming Lecture This course is an introductory course on computer systems. It introduces computer systems from a programmer's perspective, rather than a system implementer's perspective, which prepares students for more advanced topics that discuss the internals of a computer system (e.g., operating systems or computer architecture). As a result, the focus of the course is teaching programmable interfaces of a computer system as well as how to use them correctly and effectively when writing a program. The topics mainly include hardware/software interfaces (e.g., data representation in memory) and OS/application interfaces (e.g., syscalls). In discussing these topics, the course gives an overview of a complete computer system, the hardware, operating system, compiler, and network, in order to guide students through various components that modern programs rely on to accomplish their intended purposes. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisites: CSE 116 and Approved Computer Science, Computer Engineering, Bioinformatics/CS or Computational Linguistics Majors only. Systems Programming CSE 250 CSE 250LR Data Structures Lecture Provides a rigorous analysis of the design, implementation, and properties of advanced data structures. Topics include time-space analysis and tradeoffs in arrays, vectors, lists, stacks, queues, and heaps; tree and graph algorithms and traversals, hashing, sorting, and data structures on secondary storage. Surveys library implementations of basic data structures in a high-level language. Advanced data structure implementations are studied in detail. Illustrates the importance of choosing appropriate data structures when solving a problem by programming projects in a high-level language. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311) and (MTH 141 or MTH 131 or MTH 121 or MTH 137). Engineering, Bioinformatics, Computational Physics, or Math Majors, Computer Science Minors, and Data Intesive Computing Certificate students only Data Structures Please see the Undergraduate Catalog for more information on this requirement. Science Sequence I Course Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 341 CSE 341LR Computer Organization Lecture Basic hardware and software issues of computer organization. Topics include computer abstractions and technology, performance evaluation, instruction set architecture, arithmetic logic unit design, advanced computer arithmetic, datapath and control unit design, pipelining, memory hierarchy, input-output. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: EE 178 or CSE 241 or CSE 220 Computer Science, Computer Engineering, Electrical Engineering, or Bioinformatics majors only Computer Organization CSE 331 CSE 331LR Algo and Complexity Lecture Introduces paradigms for designing algorithms and fundamental limitations to what algorithms can do. Covers basic algorithm design paradigms of greedy algorithms, divide and conquer algorithms and dynamic programming, as well as a selection of advanced algorithmic topics, such as randomized algorithms, algorithms for distributed systems and basic algorithms for machine learning. Topics related to limitations of algorithms include NP-completeness and undecidability. Coverage includes analyzing algorithms via proofs and programming assignments to implement algorithms. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: MTH 142 or MTH139 or MTH 122, and CSE 250 and (CSE 191 or MTH 311). Computer Science, Computer Engineering, or Bioinformatics majors only. Intro Algorithms Probability Please see the Undergraduate Catalog for more information on this requirement. Science Sequence II Course Please see the Undergraduate Catalog for more information on this requirement. Scientific Literacy Lab Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 305 CSE 305LR Programming Languages Lecture Examines concepts and constructs found in programming languages. Topics include binding time, strong typing, control and data abstraction, higher-order functions, and polymorphism. The major programming paradigms (procedural, object-oriented, functional, and logic) will be studied and compared. The course will also provide an introduction to syntax and semantics, compilation vs. interpretation, and storage management. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisite: CSE 250 and Computer Science, Computer Engineering, Computational Physics or Bioinformatics majors only. Intro to Programming Languages STA 301 or MTH 411 or EAS 305 STA 301LEC Intro to Probability Lec Lecture Credit: 3 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Co-Requisite: Students must enroll in STA 301LEC and STA 301REC in the same term. MTH 411LR Probability Theory Lecture A first course in probability. Introduces the basic concepts of probability theory and addresses many concrete problems. A list of basic concepts includes axioms of probability, conditional probability, independence, random variables (continuous and discrete), distribution functions, expectation, variance, joint distribution functions, limit theorems. This course is dual-listed with MTH 511. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: MTH 142 or MTH 154 or MTH 138 and MTH 139 EAS 305LR Appl Prob & Stat Lecture This is an introductory course in probability and statistics for undergraduate students in engineering and applied sciences. It prepares the students to apply probability theory and statistical methods to solve engineering problems. Basic probability concepts including discrete, continuous, and multivariate probability distributions are covered. Also, the fundamentals of descriptive and inferential statistics are discussed. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Co-Requisite: MTH 241 or MTH 251. Engineering or Computer Science Majors Only. Students are not eligible to enroll in EAS 305 if they have already completed or are enrolled in CE 305, CIE 308, or EE 305. Applied Probability/Statistics MTH 309 MTH 309LR Intro Linear Algebra Lecture Linear equations, matrices, determinants, vector spaces, linear mappings, inner products, eigenvalues, eigenvectors. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: MTH 142 or MTH 154 or MTH 138 and MTH 139 Intro Linear Algebra EAS 360 EAS 360LEC STEM Communications Lecture Prepares students to successfully communicate, across a range of professional genres and media, to technical, professional, and public audiences; to produce communications individually and as part of a team; and to produce communications which are consistent with ethical engineering practice. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-requisite: Completion of Communication Literacy 1; Must be a SEAS Major and a UB Curriculum Student. First year students are not permitted to enroll in this course. STEM Communications Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course	Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course Please see the Undergraduate Catalog for more information on this requirement. CSE 300/400 Level Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE Specialization Course CSE 442 or CSE 494 or CSE 443 CSE 442LR Software Eng Concepts Lecture Examines in detail the software development process. Topics include software life-cycle models; architectural and design approaches; various techniques for systematic software testing; coding and documentation strategies; project management; customer relations; the social, ethical, and legal aspects of computing; and the impact of economic, environmental, safety, manufacturability, and sustainability factors on design. Students in this course participate in a real-world project from conception to implementation. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: CSE 250; Approved Computer Science, Computer Engineering, Computational Physics, Bioinformatics/CS Majors only. Students must 60 or more credit hours completed. CSE 494SEM Capstone/Seminar Seminar Course for fourth year majors intended to provide a learning experience that integrates knowledge from lower-level courses. Topics may vary. (May not be used to satisfy the requirements for the BA or BS unless specifically used as capstone or senior seminar.) Credit: 3 Grading: Graded (GRD) Typically Offered: Other Requisites: Pre-Requisite: Completion of year 1-3 major requirements CSE 443LR Compilers Lecture Considers problems encountered in the design and implementation of a translator for high-level programming languages: lexical analysis, context-free grammars, parsing, storage allocation, code generation and optimization, and error recovery. Uses compiler construction tools for the programming projects. Offered occasionally. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Other Requisites: Pre-Requisite: CSE 220; Co-Requisite: CSE 341; Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor. Capstone Requirement Please see the Undergraduate Catalog for more information on this requirement. Math/Science Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE Specialization Course UBC 399 UBC 399MNT UB Curriculum Capstone Mentored Individual Learning UB Curriculum Capstone (UBC 399) is the culminating general education requirement. It is a one-credit course in which you will work in UBPortfolio, with the support of your Capstone instructor, to create a reflective and integrative Capstone ePortfolio based on your UB Curriculum coursework and lived experiences outside of the classroom. All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. Students who drop an in-progress course will be removed from UBC 399 through the add/drop period. Students who resign an in-progress course may not be able to successfully complete the Capstone. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. If you enrolled today in your remaining UBC course(s), HUB will allow you to enroll tomorrow. For questions, email: ubcurriculum@buffalo.edu. UB Capstone Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective
15 Hours	15 Hours	14 Hours	18 Hours	17 Hours	13 Hours	16 Hours	13 Hours

General Notes:

Within the flowsheet presented above, students are expected to satisfy four of the five UB Areas and the Diversity Learning requirement via the four Thematic/Global pathway courses shown. Computer Science BS courses are included in List 3 of the thematic pathways, and the List 3 class for the global pathway can be completed within required electives. Please see the pathways website for more information.

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Students must complete the Scientific Literacy Sequence using only the following courses: BIO 200, BIO 201, BIO 211, CHE 101, CHE 113, CHE 105, CHE 107, CHE 108, CHE 127 & 128 (both required to complete SLI Lab component), GLY 101, GLY 102, GLY 103, GLY 104, GLY 105, PHY 107, PHY 108, PHY 117, PHY 118, PHY 158

Place the mouse over a course to highlight the
course prerequisite sequence
course prerequisites
course corequisite sequence
course corequisites
course post-corequisites
postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

These online flowsheets have been prepared to assist you in determining the standard course flow for each major. While efforts have been made to ensure their accuracy, final responsibility for meeting graduation requirements resides with you. Using this tool does not take the place of meeting with your academic advisor.

Freshmen Flowsheet for Computer Science BS
(Effective AY 2023-24 to AY 2024-25)

First Year		Second Year		Third Year		Fourth Year
Fall	Spring	Fall	Spring	Fall	Spring	Fall	Spring
MTH 141 Calculus 1 CSE 115 Intro to Computer Science I CSE 199 CSE 199 or Equivalent UB Seminar ENG 105 Communication Literacy 1	MTH 142 Calculus 2 CSE 116 Intro to Computer Science II CSE 191 Discrete Structures Thematic or Global Pathway Course	CSE 220 Systems Programming CSE 250 Data Structures Science Sequence I Course Thematic or Global Pathway Course	CSE 341 Computer Organization CSE 331 Intro Algorithms Probability Science Sequence II Course Scientific Literacy Lab Thematic or Global Pathway Course Thematic or Global Pathway Course	CSE 305 Intro to Programming Languages STA 301 or MTH 411 or EAS 305 Applied Probability/Statistics MTH 309 Intro Linear Algebra EAS 360 STEM Communications CSE Topic Area Course	CSE Topic Area Course CSE Topic Area Course CSE 300/400 Level Elective Free Elective	CSE Specialization Course CSE 442 or CSE 494 or CSE 443 Capstone Requirement Math/Science Elective Free Elective Free Elective	CSE Specialization Course UBC 399 UB Capstone Free Elective Free Elective
15 Hours	15 Hours	14 Hours	18 Hours	17 Hours	13 Hours	16 Hours	13 Hours

General Notes:

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Place the mouse over a course to highlight the
course prerequisite sequence
course prerequisites
course corequisite sequence
course corequisites
course post-corequisites
postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

Transfer Flowsheet for Computer Science BS
(Effective AY 2023-24 to AY 2024-25)

First Year		Second Year		Third Year		Fourth Year
Fall	Spring	Fall	Spring	Fall	Spring	Fall	Spring
MTH 141 MTH 141LR College Calculus 1 Lecture Beginning of a three-semester sequence in calculus for students of mathematics, natural sciences, and engineering. Covers differentiation and integration with applications. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. This course is the same as MTH 136 + 137 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req:70+ all parts of MRA, or C or better in ULC148, MTH108, 114, 115, 121, 131, D or better in MTH141, 3 on AP Calc or 4-5 on AP Pre-Calc or concurrent reg in MTH109 with C or better in MTH113 or MRA scores 70+ Math Fund AND Alg and 50-69 in Trig Calculus 1 CSE 115 CSE 115LLR Computer Science I Lecture Provides the fundamentals of computer science with an emphasis on applying programming skills to solve problems and increase human efficiency. Topics include variables, data types, expressions, control flow, functions, input/output, data storage, networking, security, selection, sorting, iteration and the use of aggregate data structures such as lists and more general collections. No previous programming experience required. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: Pre-calculus (MTH 115 or ULC 148 or MTH 113 or MTH 114) or appropriate math placement test scores or Co-Requisite of Calculus 1 (MTH 121 or MTH 131 or MTH 141, or MTH 136 or MTH 108). Intro to Computer Science I Please see the Undergraduate Catalog for more information on this requirement. 100-level TE ENG 105 ENG 105LEC Writing and Rhetoric Lecture An introduction to research, writing, and rhetorical practices employed in academic and professional contexts. The course examines the operation of genres, the audiences they address, and the purposes they serve. The course focuses on the analysis and development of student writing and rhetorical practice. Assignments include research essays, digital compositions, and oral presentations. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: ENG 105 non-Z Requisite Communication Literacy 1	MTH 142 MTH 142LR College Calculus 2 Lecture Differentiation and integration of transcendental functions; infinite sequences; series and power series; integration methods; additional topics in analytic geometry. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. This course is the same as MTH 138 and MTH 139 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 141 or MTH 136 with MTH 137 as a co-requisite; Anti-Requisite MTH 138/139. Calculus 2 CSE 116 CSE 116LLB Computer Science II Lecture Students will continue to develop the skills introduced in CSE115 while exploring the details of program execution and the structure of large programs. Emphasizes design decisions that affect the efficiency, expandability, and maintainability of code while analyzing the differences amongst a variety of approaches. Design decisions analyzed include choice of data structures and object-oriented techniques such as encapsulation, polymorphism, and inheritance. Additional topics include the use of recursion, multithreading, parallelism, hardware, graph and tree traversals, asymptotic analysis, divide and conquer, databases, testing, and multi-language integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. Intro to Computer Science II CSE 191 CSE 191LR Intro Discrete Structures Lecture Foundational material for further studies in computer science. Topics include logic, proofs, sets, functions, relations, recursion, recurrence relations, mathematical induction, graphs, trees, basic counting theory, regular languages, and context free grammars. This course is the same as MTH 191 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. Discrete Structures Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	MTH 309 MTH 309LR Intro Linear Algebra Lecture Linear equations, matrices, determinants, vector spaces, linear mappings, inner products, eigenvalues, eigenvectors. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: MTH 142 or MTH 154 or MTH 138 and MTH 139 Intro Linear Algebra CSE 250 CSE 250LR Data Structures Lecture Provides a rigorous analysis of the design, implementation, and properties of advanced data structures. Topics include time-space analysis and tradeoffs in arrays, vectors, lists, stacks, queues, and heaps; tree and graph algorithms and traversals, hashing, sorting, and data structures on secondary storage. Surveys library implementations of basic data structures in a high-level language. Advanced data structure implementations are studied in detail. Illustrates the importance of choosing appropriate data structures when solving a problem by programming projects in a high-level language. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311) and (MTH 141 or MTH 131 or MTH 121 or MTH 137). Engineering, Bioinformatics, Computational Physics, or Math Majors, Computer Science Minors, and Data Intesive Computing Certificate students only Data Structures Please see the Undergraduate Catalog for more information on this requirement. Science Sequence I Course Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 341 CSE 341LR Computer Organization Lecture Basic hardware and software issues of computer organization. Topics include computer abstractions and technology, performance evaluation, instruction set architecture, arithmetic logic unit design, advanced computer arithmetic, datapath and control unit design, pipelining, memory hierarchy, input-output. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: EE 178 or CSE 241 or CSE 220 Computer Science, Computer Engineering, Electrical Engineering, or Bioinformatics majors only Computer Organization Please see the Undergraduate Catalog for more information on this requirement. Science Sequence II Course Please see the Undergraduate Catalog for more information on this requirement. Scientific Literacy Lab Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 305 CSE 305LR Programming Languages Lecture Examines concepts and constructs found in programming languages. Topics include binding time, strong typing, control and data abstraction, higher-order functions, and polymorphism. The major programming paradigms (procedural, object-oriented, functional, and logic) will be studied and compared. The course will also provide an introduction to syntax and semantics, compilation vs. interpretation, and storage management. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisite: CSE 250 and Computer Science, Computer Engineering, Computational Physics or Bioinformatics majors only. Intro to Programming Languages STA 301 or MTH 411 or EAS 305 STA 301LEC Intro to Probability Lec Lecture Credit: 3 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Co-Requisite: Students must enroll in STA 301LEC and STA 301REC in the same term. MTH 411LR Probability Theory Lecture A first course in probability. Introduces the basic concepts of probability theory and addresses many concrete problems. A list of basic concepts includes axioms of probability, conditional probability, independence, random variables (continuous and discrete), distribution functions, expectation, variance, joint distribution functions, limit theorems. This course is dual-listed with MTH 511. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: MTH 142 or MTH 154 or MTH 138 and MTH 139 EAS 305LR Appl Prob & Stat Lecture This is an introductory course in probability and statistics for undergraduate students in engineering and applied sciences. It prepares the students to apply probability theory and statistical methods to solve engineering problems. Basic probability concepts including discrete, continuous, and multivariate probability distributions are covered. Also, the fundamentals of descriptive and inferential statistics are discussed. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Co-Requisite: MTH 241 or MTH 251. Engineering or Computer Science Majors Only. Students are not eligible to enroll in EAS 305 if they have already completed or are enrolled in CE 305, CIE 308, or EE 305. Applied Probability/Statistics CSE 331 CSE 331LR Algo and Complexity Lecture Introduces paradigms for designing algorithms and fundamental limitations to what algorithms can do. Covers basic algorithm design paradigms of greedy algorithms, divide and conquer algorithms and dynamic programming, as well as a selection of advanced algorithmic topics, such as randomized algorithms, algorithms for distributed systems and basic algorithms for machine learning. Topics related to limitations of algorithms include NP-completeness and undecidability. Coverage includes analyzing algorithms via proofs and programming assignments to implement algorithms. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: MTH 142 or MTH139 or MTH 122, and CSE 250 and (CSE 191 or MTH 311). Computer Science, Computer Engineering, or Bioinformatics majors only. Intro Algorithms Probability Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course CSE 220 CSE 220LLB Systems Programming Lecture This course is an introductory course on computer systems. It introduces computer systems from a programmer's perspective, rather than a system implementer's perspective, which prepares students for more advanced topics that discuss the internals of a computer system (e.g., operating systems or computer architecture). As a result, the focus of the course is teaching programmable interfaces of a computer system as well as how to use them correctly and effectively when writing a program. The topics mainly include hardware/software interfaces (e.g., data representation in memory) and OS/application interfaces (e.g., syscalls). In discussing these topics, the course gives an overview of a complete computer system, the hardware, operating system, compiler, and network, in order to guide students through various components that modern programs rely on to accomplish their intended purposes. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisites: CSE 116 and Approved Computer Science, Computer Engineering, Bioinformatics/CS or Computational Linguistics Majors only. Systems Programming EAS 198 EAS 198SEM UB Seminar Seminar The one credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps transition to UB through an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 198 offered in any subject. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade of F or R may not be able to repeat the course during the fall or spring semester. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: First semester transfer students upon matriculation to UB will be allowed to take EAS 198 instead of EAS 199. UB Transfer Seminar	Please see the Undergraduate Catalog for more information on this requirement. CSE 300/400 Level Elective EAS 360 EAS 360LEC STEM Communications Lecture Prepares students to successfully communicate, across a range of professional genres and media, to technical, professional, and public audiences; to produce communications individually and as part of a team; and to produce communications which are consistent with ethical engineering practice. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-requisite: Completion of Communication Literacy 1; Must be a SEAS Major and a UB Curriculum Student. First year students are not permitted to enroll in this course. STEM Communications Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course Please see the Undergraduate Catalog for information on required free electives. Free Elective	CSE 442 or CSE 494 or CSE 443 CSE 442LR Software Eng Concepts Lecture Examines in detail the software development process. Topics include software life-cycle models; architectural and design approaches; various techniques for systematic software testing; coding and documentation strategies; project management; customer relations; the social, ethical, and legal aspects of computing; and the impact of economic, environmental, safety, manufacturability, and sustainability factors on design. Students in this course participate in a real-world project from conception to implementation. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: CSE 250; Approved Computer Science, Computer Engineering, Computational Physics, Bioinformatics/CS Majors only. Students must 60 or more credit hours completed. CSE 494SEM Capstone/Seminar Seminar Course for fourth year majors intended to provide a learning experience that integrates knowledge from lower-level courses. Topics may vary. (May not be used to satisfy the requirements for the BA or BS unless specifically used as capstone or senior seminar.) Credit: 3 Grading: Graded (GRD) Typically Offered: Other Requisites: Pre-Requisite: Completion of year 1-3 major requirements CSE 443LR Compilers Lecture Considers problems encountered in the design and implementation of a translator for high-level programming languages: lexical analysis, context-free grammars, parsing, storage allocation, code generation and optimization, and error recovery. Uses compiler construction tools for the programming projects. Offered occasionally. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Other Requisites: Pre-Requisite: CSE 220; Co-Requisite: CSE 341; Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor. Capstone Requirement Please see the Undergraduate Catalog for more information on this requirement. Math/Science Elective Please see the Undergraduate Catalog for more information on this requirement. CSE Specialization Course Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE Specialization Course UBC 399 UBC 399MNT UB Curriculum Capstone Mentored Individual Learning UB Curriculum Capstone (UBC 399) is the culminating general education requirement. It is a one-credit course in which you will work in UBPortfolio, with the support of your Capstone instructor, to create a reflective and integrative Capstone ePortfolio based on your UB Curriculum coursework and lived experiences outside of the classroom. All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. Students who drop an in-progress course will be removed from UBC 399 through the add/drop period. Students who resign an in-progress course may not be able to successfully complete the Capstone. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. If you enrolled today in your remaining UBC course(s), HUB will allow you to enroll tomorrow. For questions, email: ubcurriculum@buffalo.edu. UB Capstone Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective
15 Hours	15 Hours	17 Hours	11 Hours	19 Hours	16 Hours	13 Hours	16 Hours

General Notes:

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Place the mouse over a course to highlight the
course prerequisite sequence
course prerequisites
course corequisite sequence
course corequisites
course post-corequisites
postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

Seamless Transfer Flowsheet for Computer Science BS
(Effective AY 2023-24 to AY 2024-25)

Third Year		Fourth Year
Fall	Spring	Fall	Spring
EAS 198 EAS 198SEM UB Seminar Seminar The one credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps transition to UB through an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 198 offered in any subject. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade of F or R may not be able to repeat the course during the fall or spring semester. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: First semester transfer students upon matriculation to UB will be allowed to take EAS 198 instead of EAS 199. UB Transfer Seminar CSE 220 CSE 220LLB Systems Programming Lecture This course is an introductory course on computer systems. It introduces computer systems from a programmer's perspective, rather than a system implementer's perspective, which prepares students for more advanced topics that discuss the internals of a computer system (e.g., operating systems or computer architecture). As a result, the focus of the course is teaching programmable interfaces of a computer system as well as how to use them correctly and effectively when writing a program. The topics mainly include hardware/software interfaces (e.g., data representation in memory) and OS/application interfaces (e.g., syscalls). In discussing these topics, the course gives an overview of a complete computer system, the hardware, operating system, compiler, and network, in order to guide students through various components that modern programs rely on to accomplish their intended purposes. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisites: CSE 116 and Approved Computer Science, Computer Engineering, Bioinformatics/CS or Computational Linguistics Majors only. Systems Programming Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course STA 301 or MTH 411 or EAS 305 STA 301LEC Intro to Probability Lec Lecture Credit: 3 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Co-Requisite: Students must enroll in STA 301LEC and STA 301REC in the same term. MTH 411LR Probability Theory Lecture A first course in probability. Introduces the basic concepts of probability theory and addresses many concrete problems. A list of basic concepts includes axioms of probability, conditional probability, independence, random variables (continuous and discrete), distribution functions, expectation, variance, joint distribution functions, limit theorems. This course is dual-listed with MTH 511. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: MTH 142 or MTH 154 or MTH 138 and MTH 139 EAS 305LR Appl Prob & Stat Lecture This is an introductory course in probability and statistics for undergraduate students in engineering and applied sciences. It prepares the students to apply probability theory and statistical methods to solve engineering problems. Basic probability concepts including discrete, continuous, and multivariate probability distributions are covered. Also, the fundamentals of descriptive and inferential statistics are discussed. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Co-Requisite: MTH 241 or MTH 251. Engineering or Computer Science Majors Only. Students are not eligible to enroll in EAS 305 if they have already completed or are enrolled in CE 305, CIE 308, or EE 305. Applied Probability/Statistics CSE 305 CSE 305LR Programming Languages Lecture Examines concepts and constructs found in programming languages. Topics include binding time, strong typing, control and data abstraction, higher-order functions, and polymorphism. The major programming paradigms (procedural, object-oriented, functional, and logic) will be studied and compared. The course will also provide an introduction to syntax and semantics, compilation vs. interpretation, and storage management. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisite: CSE 250 and Computer Science, Computer Engineering, Computational Physics or Bioinformatics majors only. Intro to Programming Languages CSE 331 CSE 331LR Algo and Complexity Lecture Introduces paradigms for designing algorithms and fundamental limitations to what algorithms can do. Covers basic algorithm design paradigms of greedy algorithms, divide and conquer algorithms and dynamic programming, as well as a selection of advanced algorithmic topics, such as randomized algorithms, algorithms for distributed systems and basic algorithms for machine learning. Topics related to limitations of algorithms include NP-completeness and undecidability. Coverage includes analyzing algorithms via proofs and programming assignments to implement algorithms. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: MTH 142 or MTH139 or MTH 122, and CSE 250 and (CSE 191 or MTH 311). Computer Science, Computer Engineering, or Bioinformatics majors only. Intro Algorithms Probability	Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course Please see the Undergraduate Catalog for more information on this requirement. CSE Topic Area Course Please see the Undergraduate Catalog for more information on this requirement. CSE 300/400 Level Elective EAS 360 EAS 360LEC STEM Communications Lecture Prepares students to successfully communicate, across a range of professional genres and media, to technical, professional, and public audiences; to produce communications individually and as part of a team; and to produce communications which are consistent with ethical engineering practice. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-requisite: Completion of Communication Literacy 1; Must be a SEAS Major and a UB Curriculum Student. First year students are not permitted to enroll in this course. STEM Communications	Please see the Undergraduate Catalog for more information on this requirement. Math/Science Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for more information on this requirement. CSE Specialization Course CSE 442 or CSE 494 or CSE 443 CSE 442LR Software Eng Concepts Lecture Examines in detail the software development process. Topics include software life-cycle models; architectural and design approaches; various techniques for systematic software testing; coding and documentation strategies; project management; customer relations; the social, ethical, and legal aspects of computing; and the impact of economic, environmental, safety, manufacturability, and sustainability factors on design. Students in this course participate in a real-world project from conception to implementation. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: CSE 250; Approved Computer Science, Computer Engineering, Computational Physics, Bioinformatics/CS Majors only. Students must 60 or more credit hours completed. CSE 494SEM Capstone/Seminar Seminar Course for fourth year majors intended to provide a learning experience that integrates knowledge from lower-level courses. Topics may vary. (May not be used to satisfy the requirements for the BA or BS unless specifically used as capstone or senior seminar.) Credit: 3 Grading: Graded (GRD) Typically Offered: Other Requisites: Pre-Requisite: Completion of year 1-3 major requirements CSE 443LR Compilers Lecture Considers problems encountered in the design and implementation of a translator for high-level programming languages: lexical analysis, context-free grammars, parsing, storage allocation, code generation and optimization, and error recovery. Uses compiler construction tools for the programming projects. Offered occasionally. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Other Requisites: Pre-Requisite: CSE 220; Co-Requisite: CSE 341; Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor. Capstone Requirement	Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective UBC 399 UBC 399MNT UB Curriculum Capstone Mentored Individual Learning UB Curriculum Capstone (UBC 399) is the culminating general education requirement. It is a one-credit course in which you will work in UBPortfolio, with the support of your Capstone instructor, to create a reflective and integrative Capstone ePortfolio based on your UB Curriculum coursework and lived experiences outside of the classroom. All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. Students who drop an in-progress course will be removed from UBC 399 through the add/drop period. Students who resign an in-progress course may not be able to successfully complete the Capstone. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. If you enrolled today in your remaining UBC course(s), HUB will allow you to enroll tomorrow. For questions, email: ubcurriculum@buffalo.edu. UB Capstone Please see the Undergraduate Catalog for more information on this requirement. CSE Specialization Course
19 Hours	16 Hours	13 Hours	16 Hours

Computer Science Core Requirements
CSE 115LLR Computer Science I Lecture Provides the fundamentals of computer science with an emphasis on applying programming skills to solve problems and increase human efficiency. Topics include variables, data types, expressions, control flow, functions, input/output, data storage, networking, security, selection, sorting, iteration and the use of aggregate data structures such as lists and more general collections. No previous programming experience required. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: Pre-calculus (MTH 115 or ULC 148 or MTH 113 or MTH 114) or appropriate math placement test scores or Co-Requisite of Calculus 1 (MTH 121 or MTH 131 or MTH 141, or MTH 136 or MTH 108). CSE 115 Intro to Computer Science I MTH 141LR College Calculus 1 Lecture Beginning of a three-semester sequence in calculus for students of mathematics, natural sciences, and engineering. Covers differentiation and integration with applications. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. This course is the same as MTH 136 + 137 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req:70+ all parts of MRA, or C or better in ULC148, MTH108, 114, 115, 121, 131, D or better in MTH141, 3 on AP Calc or 4-5 on AP Pre-Calc or concurrent reg in MTH109 with C or better in MTH113 or MRA scores 70+ Math Fund AND Alg and 50-69 in Trig MTH 141 Calculus 1	CSE 116LLB Computer Science II Lecture Students will continue to develop the skills introduced in CSE115 while exploring the details of program execution and the structure of large programs. Emphasizes design decisions that affect the efficiency, expandability, and maintainability of code while analyzing the differences amongst a variety of approaches. Design decisions analyzed include choice of data structures and object-oriented techniques such as encapsulation, polymorphism, and inheritance. Additional topics include the use of recursion, multithreading, parallelism, hardware, graph and tree traversals, asymptotic analysis, divide and conquer, databases, testing, and multi-language integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. CSE 116 Intro to Computer Science II CSE 191LR Intro Discrete Structures Lecture Foundational material for further studies in computer science. Topics include logic, proofs, sets, functions, relations, recursion, recurrence relations, mathematical induction, graphs, trees, basic counting theory, regular languages, and context free grammars. This course is the same as MTH 191 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. CSE 191 Discrete Structures	CSE 250LR Data Structures Lecture Provides a rigorous analysis of the design, implementation, and properties of advanced data structures. Topics include time-space analysis and tradeoffs in arrays, vectors, lists, stacks, queues, and heaps; tree and graph algorithms and traversals, hashing, sorting, and data structures on secondary storage. Surveys library implementations of basic data structures in a high-level language. Advanced data structure implementations are studied in detail. Illustrates the importance of choosing appropriate data structures when solving a problem by programming projects in a high-level language. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311) and (MTH 141 or MTH 131 or MTH 121 or MTH 137). Engineering, Bioinformatics, Computational Physics, or Math Majors, Computer Science Minors, and Data Intesive Computing Certificate students only CSE 250 Data Structures	CSE 341LR Computer Organization Lecture Basic hardware and software issues of computer organization. Topics include computer abstractions and technology, performance evaluation, instruction set architecture, arithmetic logic unit design, advanced computer arithmetic, datapath and control unit design, pipelining, memory hierarchy, input-output. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: EE 178 or CSE 241 or CSE 220 Computer Science, Computer Engineering, Electrical Engineering, or Bioinformatics majors only CSE 341 Computer Organization

Mathematics Requirements
MTH 142LR College Calculus 2 Lecture Differentiation and integration of transcendental functions; infinite sequences; series and power series; integration methods; additional topics in analytic geometry. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. This course is the same as MTH 138 and MTH 139 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 141 or MTH 136 with MTH 137 as a co-requisite; Anti-Requisite MTH 138/139. MTH 142 Calculus 2	MTH 309LR Intro Linear Algebra Lecture Linear equations, matrices, determinants, vector spaces, linear mappings, inner products, eigenvalues, eigenvectors. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: MTH 142 or MTH 154 or MTH 138 and MTH 139 MTH 309 Intro Linear Algebra

Natural Science Requirements
See the Undergraduate Catalog for more information on this requirement. Science Sequence I Course	See the Undergraduate Catalog for more information on this requirement. Science Sequence II Course	See the Undergraduate Catalog for more information on this requirement. Scientific Literacy Lab

General Education Requirements
ENG 105LEC Writing and Rhetoric Lecture An introduction to research, writing, and rhetorical practices employed in academic and professional contexts. The course examines the operation of genres, the audiences they address, and the purposes they serve. The course focuses on the analysis and development of student writing and rhetorical practice. Assignments include research essays, digital compositions, and oral presentations. This course is a controlled enrollment (impacted) course. Students who have previously attempted the course and received a grade other than W may repeat the course in the summer or winter; or only in the fall or spring semester with a petition to the College of Arts and Sciences Deans' Office. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: ENG 105 non-Z Requisite ENG 105 Communication Literacy 1 Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course	Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course	Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course	Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course

General Notes:

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Place the mouse over a course to highlight the
course prerequisite sequence
course prerequisites
course corequisite sequence
course corequisites
course post-corequisites
postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

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