CECS 274-3,4    Object-Oriented Programming and Data Structures
Syllabus Fall 2013

Dr. Art Gittleman  ECS 534 (562)985-1530  art.gittleman@csulb.edu

Office Hours: MW 3-3:30, 6-7pm, Tu 9-9:30 am
Course Hours: Sem  Code 4982      TuTh 9:30-10:20 VEC 331
              Lab  Code 4983      TuTh 10:30-11:45 ECS 412 
Grading:   Exam 1   Thursday, Oct. 3                         100 points
           Exam 2   Thursday, Nov. 7                         100 points
           Final    Tuesday,  Dec. 17, 10:15-12:15           100 points
           Computer projects                           about 200 points
             due 9-10, 10-8, 10-24, 11-14, 12-10
             posted on course site
           Attendance                                         50 points  

        I give no make-up exams without a written medical excuse or the 
        equivalent.  Late projects are not encouraged, and receive at 
        least a 20% deduction.

Cheating: Work is to be your own. Do not show your code or copy others' or 
          copy online code. Ask for help in lab and office hours. The 
          penalty is failure from the course for all students involved.

Withdrawal deadline: Friday,  November 15
 
Text:  Big Java looseleaf, by Cay Horstmann   

Course Site:  http://www.csulb.edu/~artg/274 
          
Topics:       Java classes, Chapters 3, 8, and 12.
              Recursion, Chapter 13.
              Data Structures, Chapters 15 and 16
              Selected other text sections and supplementary material.

Objectives:   This course provides the foundation for all other computer 
              science and engineering courses. Classes are a key concept 
              in Java and must be fully understood.  Data structures are 
              crucial to every application. The best rogramming will not 
              help if you choose an inefficient data structure and the 
              difference between good and bad is amazing, say between 
              seconds and minutes and hours for large size data.  If you 
              expect to be a professional in computer science, computer
              engineering or a related field you need to build a strong 
              foundation. Computing changes rapidly and you need to enjoy  
              lifelong learning. If this is your calling make the 
              commitment now and start building a strong foundation.