Bachelor's Curriculum - Admitted 2017

Students pursuing a B.S. in Computer Science must take a minimum of 360 units in the following categories: Computer Science, Mathematics/Probability, Engineering and Natural Sciences, Humanities and Arts, Required Minor, Computing @ Carnegie Mellon and Free Electives.

Curriculum Requirements updated November, 2018

(requirements below are binding on students admitted Fall 2017, students admitted prior to Fall 2017 should refer to curriculum information under Current Students)

Computer Science
The following computer science courses are required:

15-128: Freshman Immigration Course*
15-122: Principles of Imperative Computation**
15-150: Principles of Functional Programming
15-151: Mathematical Foundations for Computer Science***
15-210: Parallel and Sequential Data Structures and Algorithms
15-213: Introduction to Computer Systems
15-251: Great Ideas in Theoretical Computer Science
15-451: Algorithm Design and Analysis

*Students with no prior experience with software tools (editors, scripting, code management, etc.) are encouraged to take 15-131: Great Practical Ideas in Computer Science concurrently with this course.

**Students with no prior programming experience take 15-112: Fundamentals of Programming before 15-122.

***Transfer students may use 21-127 or 21-128, and CS students needing to repeat 15-151 may use 21-127 if 15-151 is not offered.

Communications Course (choose one)

15-300 Research and Innovation in Computer Science
17-200 Ethics and Policy Issues in Computing (original number 08-200)
76-270 Writing for the Professions

Algorithms & Complexity Elective (choose one)
This category explores the modeling and rigorous analysis of computational and mathematical algorithms and their inherent complexity in greater depth.

15-354: Computational Discrete Mathematics
15-355: Modern Computer Algebra
15-455: Undergraduate Complexity Theory
15-456: Computational Geometry
15-458: Discrete Differential Geometry (approved as a substitute)
21-301: Combinatorics
21-484: Graph Theory
Others as designated by the CS Undergraduate Program

Logics & Languages Elective (choose one)
This category focuses on rigorous, formal reasoning about programs or systems, rooted in their logical foundations.

15-312: Foundations of Programming Languages
15-314: Programming Language Semantics
15-316: Software Foundations of Security and Privacy
15-317: Constructive Logic
15-414: Bug Catching: Automated Program Verification and Testing
15-424: Foundations of Cyber-Physical Systems
17-355: Program Analysis
80-413: Category Theory
Others as designated by the CS Undergraduate Program

Software Systems Elective (choose one)
This category addresses how properties of modern hardware influence the design and implementation of efficient, intuitive and secure systems with substantial programming project work.

15-410: Operating System Design and Implementation
15-411: Compiler Design
15-418: Parallel Computer Architecture and Programming
15-440: Distributed Systems
15-441: Computer Networks
15-445: Database Systems
Others as designated by the CS Undergraduate Program

Applications Elective (choose one)
This category represents important branches of computer science represented in the School of Computer Science.

02-250: Introduction to Computational Biology
05-391: Designing Human-Centered Software
10-315: Introduction to Machine Learning
11-411: Natural Language Processing
15-322: Introduction to Computer Music (or 15-323 Computer Music Systems & Information Processing)
15-381: Artificial Intelligence: Representation and Problem Solving
15-415: Database Applications
15-462: Computer Graphics
16-384: Robot Kinematics and Dynamics
16-385: Computer Vision
17-313: Foundations of Software Engineering
Others as designated by the CS Undergraduate Program

Computer Science Electives (choose two)
Choose two courses from any SCS department, usually at the 200-level or above. Departments include Computer Science (15-xxx), Lane Center for Computational Biology (02-), Human- Computer Interaction Institute (05-), Institute for Software Research (08-,17-), Machine Learning (10-), Language Technologies Institute (11-) and the Robotics Institute (16-).

NOTE: The following courses do NOT count as Computer Science electives: 02-201, 02-223, 02-261, 05-341, 08-200, 08-532, 08-533, 15-351, 16-223 (or any equivalent cross-listed courses to these courses). Some IDEATE courses and SCS graduate courses might not be allowed. Check with your academic advisor before taking any new SCS courses to determine eligibility.

Mathematics & Probability
Besides 15-151 (Mathematical Foundations for Computer Science), four additional mathematics courses are required.

21-120: Differential and Integral Calculus
21-122: Integration and Approximation
One of the following Matrix Algebra courses:
21-241: Matrices and Linear Transformations
21-242: Matrix Theory
One of the following Probability courses:
15-259: Probability and Computing (new course number);
21-325: Probability;
36-218: Probability Theory for Computer Scientists (starts Fall 2018; students entering in 2017 may take 36-217 through Summer 2018);
36-225: Probability Theory

Science and Engineering
Four courses in the domain of science and engineering are required, of which at least one must have a laboratory component and at least two must be from the same department. These courses typically come from the Mellon College of Science and the College of Engineering (CIT). Courses with a primary focus on programming, computation or mathematics are not acceptable for science or engineering courses.

Non-lab courses that can be taken by Computer Science majors to satisfy this requirement are given below. (Consult your academic advisor for additional choices available each semester.)

02-223: Personalized Medicine: Understanding Your Own Genome
(can be paired with a course in Biology 03-xxx for two courses in one department)
03-121: Modern Biology
03-125: Evolution
03-132: Basic Science to Modern Medicine
06-100: Introduction to Chemical Engineering
06-221: Thermodynamics
09-105: Introduction to Modern Chemistry I
09-106: Modern Chemistry II
09-217: Organic Chemistry I
09-218: Organic Chemistry II
09-225: Climate Change: Chemistry, Physics and Planetary Science
12-100: Introduction to Civil and Environmental Engineering
12-201: Geology
18-100: Introduction to Electrical and Computer Engineering
18-220: Electronic Devices and Analog Circuits
18-240: Structure and Design of Digital Systems
24-101: Fundamentals of Mechanical Engineering
24-231: Fluid Mechanics
24-261: Statics
24-351: Dynamics
33-114: Physics of Musical Sound
33-120: Science and Science Fiction
33-121: Physics I for Science Students (or 33-151 Matter and Interactions I)
33-142: Physics II for Engineering and Physics Students (or 33-152 Matter and Interactions II)
33-224: Stars, Galaxies and the Universe
42-101: Introduction to Biomedical Engineering
42-341: Introduction to Biomechanics
85-219: Biological Foundations of Behavior
(can be paired with a course in Biology 03-xxx for two courses in one department)

At present, courses meeting the lab requirement include:

02-261: Quantitative Cell and Molecular Biology Laboratory
(can be paired with a course in Biology 03-xxx for two courses in one department)
03-124: Modern Biology Laboratory (coreq 03-121)
09-101: Introduction to Experimental Chemistry
(this 3 unit lab together with 09-105, Introduction to Modern Chemistry, satisfies the lab requirement and one of the four required science/engineering courses, 12 units total)
09-221: Laboratory I: Introduction to Chemical Analysis
27-100: Engineering the Materials of the Future
33-104: Experimental Physics
33-228: Electronics I
42-203: Biomedical Engineering Laboratory (crosslisted with 03-206)
85-310: Research Methods in Cognitive Psychology
85-314: Cognitive Neuroscience Research Methods

The following courses can not be used to satisfy the Science and Engineering requirement:

03-511: Computational Molecular Biology and Genomics
03-512: Computational Methods for Biological Modeling and Simulation
06-262: Mathematical Methods of Chemical Engineering
09-103: Atoms, Molecules and Chemical Change
09-108: The Illusion and Magic of Food
09-109: Kitchen Chemistry Sessions (nor 09-209)
09-231: Mathematical Methods for Chemists
12-215: Introduction to Professional Writing in CEE
12-271: Introduction to Computer Application in Civil & Environmental Engineering
18-090: Digital Media Interactions: Signal Processing for the Arts
18-099: Mobile App Design and Development
18-200: Emerging Trends in Electrical and Computer Engineering
18-202: Mathematical Foundations of Electrical Engineering
18-213: Introduction to Computer Systems
18-345: Introduction to Telecommunication Networks
18-411: Computational Techniques in Engineering
18-482: Telecommunications, Technology Policy & Management
18-487: Introduction to Computer & Network Security & Applied Cryptography
18-540: Rapid Prototyping of Computer Systems
19-101: Introduction to Engineering and Public Policy
19-211: Ethics and Policy Issues in Computing
19-301: Decision Making Methods for Engineers and Scientists
19-325: Technology and Policy Writing for Lay Audiences
19-355: Special Topics: Cryptocurrencies, Blockchains and Applications
19-402: Telecommunications Technology, Policy & Management
19-403: Policies of Wireless Systems and the Internet
19-411: Global Competitiveness: Firms, Nations and Technological Change
19-432: Bitcoin and Cryptocurrencies
27-410: Computational Techniques in Engineering
33-100: Basic Experimental Physics
33-115: Physics for Future Presidents
33-124: Introduction to Astronomy
33-232: Mathematical Methods of Physics
39-100: Special Topics: What Is Engineering?
39-200: Business for Engineers
42-201: Professional Issues in Biomedical Engineering

All Electrical and Computer Engineering graduate courses [18-6xx and above] cannot be used for the science/engineering requirements. In general, any MCS or CIT courses that are cross-listed with SCS courses or have significant mathematical or computational content cannot be used for this requirement. Consult with a CS undergraduate advisor about any course to be used for the Science and Engineering requirement before registration.

Humanities and Arts
All candidates for a bachelor's degree must complete a minimum of 63 units offered by the Dietrich College of Humanities & Social Sciences and/or the College of Fine Arts. The humanities and arts (or general education) courses for SCS students are to meet the distribution requirements found on the SCS Humanities and Arts page.

Required Minor/Concentration
A sequence of courses proscribed by the requirements of the particular department or program. Completion of an additional major (or dual degree) also satisfies this requirement. In general, courses taken in satisfaction of the minor or additional major may also count toward any general education category in the CS major (i.e. courses outside of the Computer Science and Mathematics requirements). Double counting toward Computer Science and Mathematics courses in the CS major is strictly limited and depends on the chosen minor (or additional major) Consult with a CS undergraduate advisor and an advisor from the department of the minor (or additional major) for specific restrictions on double counting.

Computing @ Carnegie Mellon
All CMU students must take 99-10x Computing @ Carnegie Mellon.

Free Electives
A free elective is any Carnegie Mellon course. However, a maximum of nine units of Physical Education and/or Military Science (ROTC) and/or Student-Led (StuCo) courses may be used toward fulfilling graduation requirements.