9.2 Instructor Availability M 3-4 in 3619 EH, W 2-3 in 3619 EH, or Th 1:30-2:30 in 303 VV, or by appointment. 9.3 Instructor Email/Preferred Contact boston@engr.wisc.edu 9.4 Teaching Assistant (if applicable) None 9.5 TA Office Hours 9.6 TA Email/Preferred Contact 10 OFFICIAL COURSE DESCRIPTION Course Description Definition of measures of information and their properties, capacity of discrete and continuous channels with noise, source and channel coding theorems, fundamentals of channel coding, noiseless source coding, and source coding with a fidelity criterion. 11. Requisites Graduate/professional standing. Enroll Info: ECE 331 or or consent of instructor. 12 LEARNING OUTCOMES 12.1 Course Learning Outcomes At the end of this course students should be able to: with the major notions of information theory such as entropy and • Possess familiarity capacity Be knowledgeable of issues involving information-theoretical limits and • Shannon’s fundamental theorems Be able to compute basic notions such as the capacity of a given channel • 12.2 ABET STUDENT OUTCOMES (a) an ability to apply knowledge of mathematics, science, and engineering (d) an ability to function on multidisciplinary teams (e) an ability to identify, formulate, and solve engineering problems (g) an ability to communicate effectively
9.2 Instructor Availability M 3-4 in 3619 EH, W 2-3 in 3619 EH, or Th 1:30-2:30 in 303 VV, or by appointment. 9.3 Instructor Email/Preferred Contact boston@engr.wisc.edu 9.4 Teaching Assistant (if applicable) None 9.5 TA Office Hours 9.6 TA Email/Preferred Contact 10 OFFICIAL COURSE DESCRIPTION Course Description Definition of measures of information and their properties, capacity of discrete and continuous channels with noise, source and channel coding theorems, fundamentals of channel coding, noiseless source coding, and source coding with a fidelity criterion. 11. Requisites Graduate/professional standing. Enroll Info: ECE 331 or or consent of instructor. 12 LEARNING OUTCOMES 12.1 Course Learning Outcomes At the end of this course students should be able to: • Possess familiarity with the major notions of information theory such as entropy and capacity • Be knowledgeable of issues involving information-theoretical limits and Shannon’s fundamental theorems • Be able to compute basic notions such as the capacity of a given channel 12.2 ABET STUDENT OUTCOMES (a) an ability to apply knowledge of mathematics, science, and engineering (d) an ability to function on multidisciplinary teams (e) an ability to identify, formulate, and solve engineering problems (g) an ability to communicate effectively
729syllabus.docx