General Information
Instructor(s)
Deepak Kumar
202 Park Science Building
526-7485
dkumar at brynmawr dot edu
https://cs.brynmawr.edu/~dkumar/
Lecture Hours: Tuesdays & Fridays from 2:40p to 4:00p
Office Hours: TBA
Lecture Room: Room 200 Park Science Building
Lab: Students should only register for ONLY ONE of the labs shown below:
Note: FIRST LAB MEETING WILL BE IN WEEK#2
Laboratories
Lab TAs: The following Lab Assistants will be available during the week for assistance on Lab assignments:
TA Schedule
TBA
Texts & Software
Main Text (Required): Introduction to Programming in Java (Second Edition) by Robert Sedgewick & Kevin Wayne. Addison-Wesley 2017. Available in Campus Bookstore, or purchase online from Amazon.com (Price on August 11, 2020 is $XXX.XX-insert link).
Software: We will be programming in Java on Windows/Apple Mac computers. The CS Labs all have Windows computers that will have the software installed in them. We will also provide SPECIFIC instructions for you to install the Java environment on your own computers so you will be able to work on them. More details in the first week of class.
Syllabus
Course Description: 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 prior 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; [Note: These limits have changed for in-person classes and are dictated by allotted classroom spaces.]
Topics
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.
Important Dates
| September 4: | Week 0 Session |
|---|---|
| September 8: | First class meeting |
| October 6: | Exam 1 |
| November 10: | Exam 2 |
| December 8: | Exam 3 [This will likely change] |
Assignments
Lectures
Communication
Attendance and active participation are expected in every class. Participation includes asking questions, contributing answers, proposing ideas, and providing constructive comments.
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.
Grading
There will be 7-10 assignments, weighted equally in the final grading. Assignments must be submitted according to the Assignment Submission instructions.
At the end of the semester, final grades will be calculated as a weighted average of all grades according to the following weights:
| Eaxm 1: | 15% |
|---|---|
| Eaxm 2: | 20% |
| Exam 3 | 20% |
| Assignments | 25% |
| Labs | 10% |
| Citizenship/Contribution | 10% |
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 electronically in your designated Dropbox Folder. We will set up this up in Week#1.
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.
Any 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.
Exams
There will be three 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).
Study Groups
We encourage you to discuss the material and work together to understand it. Here are our thoughts on collaborating with other students:
If you have any questions as to what types of collaborations are allowed, please feel free to ask.
Created on August 12, 2020.