This is an introduction to the discipline of computer science, suitable for those students with a mature quantitative ability. This fast-paced course covers the basics of computer programming, with an emphasis on program design, problem decomposition, and object-oriented programming in Java. Graduates of this course will be able to write small computer programs independently; examples include data processing for a data-based science course, small games, or estimating likelihood of probabilistic events, etc.. No computer programming experience is necessary or expected. Students are required to register for a weekly lab.
SuperArrays has been released.
It is due before 05:00PM on Tuesday, May 7, 2024.
- Course number
- CMSC B113 - students from all majors are welcome!
- Instructor
- Elizabeth Dinella
- Teaching Assistants
- Course Staff
- Discussion Forum
- Piazza
- Code Samples From Lecture
- Github
- Time and place
- Spring 2024
- TTH 12:55-2:15pm, Location: Park 231
- Lab TH: 2:25-3:45pm, Location: Park 231
- Prerequisites
- None - no prior programming background is required
- Course Readings
- Each lecture has an accompanying chapter/section of the textbook
- Some lectures will have accompanying optional reading related to the lecture’s topic
Grading
- Homeworks: 30%
- Labs: 5%
- Midterms: 25%
- Final: 35%
- Participation: 5%
- Late day policy
- As a general rule, no late homework will be accepted.
See the Policies for more details.