CS111 Green - Program Design I

Biology-themed section ("Green")

[Please go to the course Blackboard site to access materials.]

Lecture:

Lab sections:
  • (CRN: 40644) Wed 10-10:50am, 2249E SEL
  • (CRN: 40645) Wed 11-11:50am, 2249E SEL
  • (CRN: 40646) Wed 12-12:50pm, 2249E SEL
Introduction to programming: control structures; variables and data types; problem decomposition and procedural programming; input and output; aggregate data structures including arrays; programming exercises.

Prerequisites: None.

Instructors and TAs

Instructor/TA Office Hours and location
Prof. Patrick Troy, UIC Computer Science Wed, 12-3pm, 1216 SEO
Prof. Boris Igic, UIC Biological Sciences Tue, 3:15-5:15pm, 4085 SEL
TA: Zixhuan Ke TBA
TA: Karolis Ramanaukas TBA
Undergrad TA: Johnnalee Kutzke TBA

This class is for students who have no (or very little) previous programming experience who are:

  1. interested in seeking a major or minor in Computer Science, and/or
  2. College of Engineering majors who wish to pursue the CS111-141 path to meeting their computing requirement, and/or
  3. interested in biology in a computer science context, and/or
  4. interested in computer science in a biological context.
  5. the informal name for this biology-themed section is "CS+BIO" or "green"

Other students are more than welcome to join CS111 or may wish to check out the similar (but less intense) course, CS100.

The course will take its examples, the things that we write programs about, from biology, ranging from DNA and genes to population dynamics and evolution. The course is team taught by a Computer Science professor and a Biological Sciences professor, and will include substantial introductory biology content. The programming language will be Python.

Course topics: Introduction to programming: control structures; variables and data types; problem decomposition and procedural programming; input and output; aggregate data structures including arrays; programming exercises.


Acknowledgment: This material is based upon work supported by the National Science Foundation grant DUE-1612113. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the professors and do not necessarily reflect the views of the National Science Foundation.


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Topic revision: r13 - 2020-01-16 - 01:21:16 - Main.boris
 
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