UCR CS 10: Introduction to Computer Science I

Spring Quarter 2003


Lecture Schedule   Lab Schedule   Exam Schedule   Turnin   Previous CS10's  

Overview

In CS 010, you'll become familiar with the basic concepts underlying computer programming, and learn to apply those principles using a powerful and widely used programming language, C++. By the end of the quarter, you should be able to write well-crafted, non-trivial programs in this language.

Catalog description : Lecture, three hours; laboratory, three hours.
Prerequisite: Math 009A (may be taken concurrently).
Solving problems through structured programming of algorithms on computers, using the C++ object-oriented language. Topics include variables, expressions, input/output (I/O), branches, loops, functions, parameters, arrays, strings, file I/O, and classes.
Also covers software design, testing, and debugging

Basic information

Class web site: www.ilearn.ucr.edu
Enrolling in this course gives you automatic access to the UCR "ilearn" site: your login id is the name field of your ucr student email address (name@student,ucr,edu), and your initial password is your Student ID (no dashes or spaces).
ALL communication with the class (announcements, assignments, handouts, etc.) will be via the ilearn site (NOT this course outline page). Some communications may be made only via the ilearn site, so you are expected to check it regularly.
Instructor : Brian Linard (blinard@cs.ucr.edu)
Office hours: Wednesday 10:00 am to noon, 1:30 to 3:00 pm, or by appointment Office: Surge Bldg. 340.
Teaching Assistants and office hours: Anwar Adi (aadi@cs.ucr.edu)
Lan Ye (lye@cs.ucr.edu)
Song Lin (slin@cs.ucr.edu)
Ya-Lee Tsai (ytsai@cs.ucr.edu)
Office hours held in Surge Bldg. 282.
Lectures: Section 1: TR 9:10 to 10:30 am in University Village Theatre. 8
Section 2: TR 10:40 am to 12:00 noon in University Village Theatre. 10
Labs: Lab attendance is mandatory. Plan to stay in the lab for the entire lab session, working on material related to this course.

Lab schedule

Text Book: Problem solving with C++ - the object of programming, by Walter Savitch, fourth edition, Addison Wesley
You can download code samples & powerpoint presentations of the text from the web site.
For optional books, visit the Additional Resources section below.

Course grading: Letter grades are assigned very approximately according to the usual 90/80/70/60 scale out of 100 total course points, with 90 and above corresponding to an A, 80 and above to a B, 70 and above to a C, 60 and above to a D, and less than 60 to an F. +/- grades will likely be given. A+'s will be given to students in the high 90's who also have turned in all required material and many of the challenge in-lab excercises. The course is divided into two grading components, combined as a weighted sum to total 100 points: 65: Theory component: 15: In-class Quizzes
20: Midterm
30: Final
35: Practical component: 10: labs: attendance & participation, in-lab programming exercises, and adherence to coding standards
  8: In-lab practical tests
10: Take-home programming assignments.
  7: Final home programming project.

To ensure minimum competency in successive courses requiring a C- or better in this course, the following grading scheme will be used: a C- minimum in both components is necessary to achieve a C- minimum for the final course grade, regardless of the components' weighted sum; otherwise, the final course grade will be no greater than a D+. For example, a B in the lab component and a D in the lecture component might yield a weighted sum of a C, but would instead result in a final course grade of D+. A C- in either component corresponds to roughly 70% of the total points for that component.

Approximate Time Requirements: This is a four-unit CS course. As such, you should expect to spend the following approximate amount of time: 3 hours/week in lecture
3 hours/week in lab
6 to 10 hours/week doing individual study (readings, homeworks, programming, lab preparation, etc).
Please don't underestimate the time you will need to spend on this course. These are real time amounts spent by average successful past students. Computer Science and Engineering are challenging disciplines requiring extensive time to master.

Lecture schedule

Subject to change as the quarter progresses.
Read the book before lecture! Reading ahead is one of the most effective ways of doing better in class -- you'll be amazed how much more comprehensible and useful the lectures will be.

Lab schedule

Subject to change as the quarter progresses.

Exams

Subject to change

General course features and policies (please read these carefully)

Lab guidelines (please read these carefully)

Electronic assignment turn-in

Anonymously report suspected cheating

Grades

Additional Resources