• Problem solving and algorithm development. Organization and characteristics of modern digital computers. Emphasis on developing good programming habits. Building abstractions with procedures and data. Programming in C++ with robots. No student who has received credit for ECE 206, CS 140, or CS 160 with a grade of C or better may subsequently receive credit for CS 102. Labs are required for cs102.

• TCS: How to Think Like a Computer Scientist: Learning with C++, by Allen B. Downey, pdf file
• LCR: Learning Computing with Robots in C++, edited by Deepak Kumar, pdf file

• PSC: Problem Solving with C++, seventh edition, by Walter Savitch (The number of edition really does not matter, you can get an older edition much cheapter. The content does not change that drastically.)

• EECS email: ytang
• Office hour: M/W/F 11:30am-12:30pm upon request
• Office: Claxton 222 (C 222)

• EECS email: ssriniv3
• Office hour: M/F 1:45pm-4:45pm
• Office hour is held in Cetus Lab (C 103).

Labs (required!):

• Tu AND Th, 9:15am-12:45pm
  

Policies:

• Class policies
• Lab policies

• Labs: 40%
• Exam I (in class, time TBA): 20%
• Exam II (in class, time TBA): 20%
• Final exam (time TBA): 20%
• Final grade will be determined by overall average, with the instructor reserve the right to curve the grades based upon class grade distribution and performance. Decisions on borderline grades will be based upon class attendance and participation. In any case, students will receive no less than the following grades for the given final numeric averages:

  A(A and A-):	90-100
  B(B, B+ and B-):	80-89.9
  C(C, C+ and C-):	70-79.9
  D:	60-69.9
  F:	0-59.9

• C++ Reference
• Thinking in C++, by Bruce Eckel, free download