Instructor : Alexander Barg, Professor, Department of Electrical and Computer Engineering
Office: 2361
Tel./Fax (301) 405 7135/314 9281
E-mail abarg at umd.edu
Class Schedule:
Lectures: Tuesday, Thursday 11:00-12:15 Room EGR3106
Announcements
·
·
Posted on 4/14: Solutions to Prob. set 5, Practice 5;
Additional reading for 2nd midterm
·
Posted on 4/4: Problem set 5, Practice set 5,
solutions to h/work 4.
·
Posted on 3/18: results of midterm 1, Problem set 4
(official date of issue March 28)
· Posted on
3/14: Solutions to all problems.
· Posted on
3/9: Practice Set 3; Solutions to Practice Set 2; Reading assignment for
the 1st midterm.
· Practice
set with the same number as the home assignment set gives more problems
for the same topics as covered by this home assignment. Practice problems are assigned for
self-study. Their solutions will not be collected or graded but can be
discussed with the instructor.
Office hours. Watch for announcements on this page. If there are
none, the office hours will be
on Tuesday 2:00-3:00 AVW2361 and by appointment.
Textbook: The following textbook is required:
B.P. Lathi, Modern digital and analog communication systems 3rd ed. Oxford
University Press 1998, ISBN 0-19-511009-9
Prerequisites: ENEE 322 Signals and Systems, ENEE 324 Engineering probability
Course communication: will be conducted through the class web page http://www.ece.umd.edu/~abarg/420 and e-mail using the e-mail addresses of students registered in the university system. I am expecting you to view this page and read your e-mail at least once a week in order not to miss important announcements, postings of home assignments, occasional corrections to problems, etc.
Homework Assignments: There will be several home assignments. A
subset of problems on each assignment will be graded. For instance, for a
homework of 6 problems I may decide to grade 3 solutions. You are expected to
submit solutions of all the problems. If not all the solutions are submitted,
your credit for this homework will be reduced proportionally. For instance, if
4 out of 6 problems were attempted, the 100% credit will be multiplied by
(2/3).
Deadline for submitting completed homework papers is one week after the day
they were assigned (if not indicated otherwise), at the beginning of the
class. Late papers will not be accepted.
Problem Set 1. Issued on Feb. 4
2006, due on Feb. 14 2006 Problems 2.1-2, 2.5-2, 2.8-3, 2.8-4
a,c,d Solutions
Problem Set 2. Issued on Feb.17, due
on Feb. 28 Problems 3.1-4, 3.1-6, 3.3-3, 3.3-9, 3.7-5
Solutions
Practice Set 2. 3.1-5, 3.2-1, 3.2-3, 3.3-8,
3.7-2, 3.7-4 Solutions
Problem Set 3. Issued on March 3,
due on March 14. Problems 6.1-2, 6.1-3, 6.2-6, 6.2-10
Solutions
Practice Set 3. 6.2-8, 7.2-2, 7.3-3(b)
Solutions
Reading assignment for 1st midterm:
Chapter 2: 2.1-2.5, 2.8, 2.9; Chapter 3: 3.1, 3.2, 3.3, 3.6-3.8;
Chapter 6: 6.1, 6.2 (except 6.2.4); Chapter 7: 7.1, 7.2 (through
p. 306)
Midterm 1: solutions
Results: 40 39 37 35 35 34 33 30 29 28 27 27 23 23 17 17 4
Problem Set 4. Issued
on March 28, due on April 4. 4.2-1, 4.2-3, 4.2-4, 4.5-3,
4.5-4, 4.6-1 Solutions
Problem Set 5. Issued
on April 4, due on April 11. Click here
Solutions
Practice Set 5. Click here Solutions
Additional reading assignment for 2nd midterm:
Chapter 4: 4.1-4.3; 4.5, Chapter 10: 10.1-10.4; Chapter
11: 11.2
Midterm 2: solutions
Results:
39 37 32.5 28 25 24 22.5 21 20 19.5 19 18 18 15.5 11
Problem Set 6: Issued on April
20, due on April 27.11.3-4,13.1-2,
13.2-3,13.5-2 Solutions
Problem Set 7: Issued on May 2, due on May 9.
15.2-3;15.2-6;15.4-3; find capacity of a binary asymmetric channel with
P(1|0)=p1, P(0|1)=p2. Solutions
Additional reading assignment for the final:
Chapter13: 13.1-13.3; 13.5, Chapter 15: 15.1-15.5, Chapter 16:
16.1-16.2
Examinations: Two midterm exams and one final. All the exams are in-class, closed-book (up to 2 pages of notes are allowed, 8.5x11 paper, single side only). The Midterm exams will be held on March 16 and April 18. Final Exam is on Saturday May 13, 8:00-10:00 am
Grading Policy: Homework 10%, midterms and final 30% each.
Course objective: Communication is the process by which a message generated at one point is represented by a signal which is transmitted through an imperfect medium to a receiver, where the message is reconstructed. The goals of this course include:
Course topics: