Computer Science Sequence

Sequence Requirements

The Department of Mathematical Sciences has developed the Computer Science Sequence in consultation with colleagues at the other Claremont Colleges. Due to the collaborative nature of the program, the curriculum outlined below may be subject to change based on availability of courses. Students wishing to pursue the sequence should take the following six courses:

1. Introductory Programming (1 course)

One course selected from:

2. Data Structures (1 course)

One course selected from:

3. Linear Algebra (1 course)

MATH060C CM - Linear Algebra with Computing (recommended) or MATH060 CM - Linear Algebra

4. Discrete Mathematics (1 course)

One course selected from:

5. Lower- or Upper-Division Computer Science Elective (1 course)

Any CSCI course numbered 35 or higher.

6. Upper-Division Computer Science Elective (1 course)

Any CSCI course numbered 70 or higher.

Notes:

Students may not pursue both the computer science sequence and the data science major .
While any of CSCI 005 HM , CSCI 040 CM , CSCI 051G PO , CSCI 051J PO , or CSCI 051P PO can serve as a prerequisite to CSCI 046 CM , only CSCI 005 HM can serve as a prerequisite to CSCI 060 HM .

Learning Goals and Student Learning Outcomes of the Computer Science Program

Learning Goals

Students who graduate with the Computer Science Sequence will learn the fundamentals of Computer Science in ways that supplement their respective majors.

Student Learning Outcomes

Students who complete the CMC Computer Science Sequence will:

Understand the theoretical computer science necessary to follow and adapt to technological changes in a student’s major discipline and in computer science.
Use fundamental mathematical abstraction to analyze problems and find algorithmic solutions.
Use fundamental data structures, algorithms, and programming techniques to implement programming projects of moderate to large size using mainstream programming languages.
Apply the fundamental knowledge to the topics in advanced electives that are closely related to a student’s major area.