Bryn Mawr College
CMSC 113: Computer Science 1
Prof. Deepak Kumar
|Texts||Important Dates||Assignments||Lectures||Course Policies||Links|
246-B Park Science Building
dkumar at brynmawr dot edu
Lecture Hours: Mondays & Wednesdays, 1:10 p.m. to
Office Hours: TBA
Lab: All labs will meet in Room 230 PSB. Students should register for ONLY ONE of the labs shown below:
FIRST LAB MEETING WILL BE IN WEEK#2
Lab Assistants: The following Lab assistants will be available during the week for assistance on lab assignments.
Course Description: Class Number: 2191
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 and problem decomposition. 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 other data-intensive applications. No computer programming experience is necessary or expected. Prerequisite: Must pass either the Quantitative Readiness Assessment or the Quantitative Seminar (QUAN B001)
Approach: Course does not meet an Approach, Quantitative Methods (QM), Quantitative Readiness Required (QR); Haverford: Quantitative (QU)
Enrollment Limit; 24: Frosh (First Year) Spaces 20;
Enrollment Criteria: All students must fill out questionnaire:Click here to go to Questionnaire.
Lab Attendance: Attendance in Lab is REQUIRED. Students are not required to attend both labs, and will need to chose one out of the two scheduled labs.
September 5: First lecture
December 13: Last lecture
Attendance and active participation are
expected in every class. Participation includes asking questions,
contributing answers, proposing ideas, and providing constructive
As you will discover, we are proponents of two-way communication and we welcome feedback during the semester about the course. We are available to answer student questions, listen to concerns, and talk about any course-related topic (or otherwise!). Come to office hours! This helps us get to know you. You are welcome to stop by and chat. There are many more exciting topics to talk about that we won't have time to cover in-class.
Although computer science work can be intense and solitary, please stay in touch with us, particularly if you feel stuck on a topic or project and can't figure out how to proceed. Often a quick e-mail, phone call or face-to-face conference can reveal solutions to problems and generate renewed creative and scholarly energy. It is essential that you begin assignments early, since we will be covering a variety of challenging topics in this course.
There will be seven assignments,
weighted equally in the final grading. Assignments must be
submitted according to the Assignment Submission
instructions. You should pay careful attention to the Code Formatting Standards and Grading Policy when doing your
assignments. The grading structure for individual
assignments is broken down in the Grading Policy, posted in each assignment.
At the end of the semester, final grades will be calculated as a weighted average of all grades according to the following weights:
Incomplete grades will be given only for verifiable medical
illness or other such dire circumstances.
Submission and Late Policy
All work must be turned in either in hard-copy or electronic
submission, depending on the instructions given in the
assignment. E-mail submissions, when permitted, should request
a "delivery receipt" to document time and date of submission. Extensions will be given only in the case of verifiable medical
excuses or other such dire circumstances, if requested in advance
and supported by your Academic Dean.
No assignment will be accepted after it is past due.
No past work can be "made up" after it is due.
No regrade requests will be entertained one week after the graded work is returned in class.
There will be two exams in this course. The exams will be closed-book and closed-notes. The exams will cover material from lectures, homeworks, and assigned readings (including topics not discussed in class).
We encourage you to discuss the material and work together to understand it. Here are our thoughts on collaborating with other students:
Created on May 4, 2018.