|Meeting Time||MWF, 11:00—11:50|
|Meeting Room||MATH 514|
|Instructor||Professor Marek Rychlik|
|Personnel||Day(s) of the Week||Hour||Room||Comment|
|Marek Rychlik||M||9:30am—10:20am||Mathematics 605||Regular Office Hours in my office|
|Marek Rychlik||M||2:00pm—2:50pm||Mathematics 605||Regular Office Hours in my office|
|Marek Rychlik||W||2:00pm—2:50pm||Mathematics 605||Regular Office Hours in my office|
Homework, and take-home final, shall be submitted as a typed paper, with the exception of these graphs and figures which cannot be easily drawn with software. The work shall be submitted electronically, as a PDF document, through D2L, using the Dropbox feature of D2L.
The student is expected to be comfortable with scientific computing and MATLAB software. Most of the homework will involve writing short (50-200 lines) programs in MATLAB. Some most used MATLAB features will be covered in class.
Homework is assigned throughout the semester. Two types of homework problems will be assigned:
|1||Aug 22—Aug 26||Introduction to Information Theory. Provability, Entropy, and Inference. More about Inference.||1, 2, 3|
|2||Aug 29—Sep 2||Introduction to MATLAB. Image representation and image processing. Communications Toolkit and Galois field arithmetic. Implementation of Hamming (7,4) code.||MATLAB documentation, RTG error correcting codes slides|
|3||Sep 5||Labor Day - no class.|
|3||Sep 7—Sep 9||Data Compression. The Source Coding Theorem.||I.4|
|4||Sep 12—Sep 16||Sketch of the proof of Source Coding Theorem.||I.4|
|5||Sep 19—Sep 23||Elias-Shannon-Fano coding and Arithmetic coding. Symbol Codes. Stream Codes. Codes for Integers.||I.5, I.6, I.7|
|6||Sep 26—Sep 30||I.6, I.7|
|7||Oct 3—Oct 7||Probabilities and Inference. An Example Inference Task: Clustering.||IV.20, IV.21|
|8||Oct 10—Oct 14||Maximum Likelihood and Clustering. Exact Marginalization.||IV.22, IV.24|
|9||Oct 17—Oct 21||Neural networks. Introduction to Neural Networks.||V.39|
|10||Oct 24—Oct 28||Neural networks. Introduction to Neural Networks. The Single Neuron as a Classifier. Capacity of a Single Neuron.||V.39, V.40, V.41|
|11||Oct 31—Nov 4||Supervised Learning in Multilayer Networks.||V.42, V.44|
|12||Nov 7—Nov 11||Feed forward networks.|
|12||Nov 11||Veteran's Day - no class.|
|13||Nov 14—Nov 18||Clustering.|
|14||Nov 21—Nov 23||Hopfield Networks. Traveling Salesman Problem.||V.42|
|14||Nov 24—Nov 27||Thanksgiving recess.|
|15||Nov 28—Dec 2||Message passing algorithms. Parallel Programming in MATLAB.||III.16|
|16||Dec 5—Dec 7|
|Finals Week||Dec 14 (Wednesday)||Final Exam, 10:30 pm - 12:30 pm (regular room).|
Students are expected to attend every scheduled class and to be familiar with the University Class Attendance policy as it appears in the General Catalog. It is the student's responsibility to keep informed of any announcements, syllabus adjustments or policy changes made during scheduled classes.
Students are expected to behave in accordance with the Student Code of Conduct and the Code of Academic Integrity. The guiding principle of academic integrity is that a student's submitted work must be the student's own. University policies can be found at http://policy.arizona.edu/academic.
See http://policy.web.arizona.edu/threatening-behavior-students. No prohibited behavior will be tolerated.
Students who miss the first two class meetings will be administratively dropped unless they have made other arrangements with the instructor.
Students are expected to be present for all exams. If a verifiable emergency arises which prevents you from taking an in-class exam at the regularly scheduled time, the instructor must be notified as soon as possible, and in any case, prior to the next regularly scheduled class. Make-up exams and quizzes will be administered only at the discretion of the instructor and only under extreme circumstances. If a student is allowed to make up a missed exam, (s)he must take it at a mutually arranged time. No further opportunities will be extended. Failure to contact your instructor as stated above or inability to produce sufficient evidence of a real emergency will result in a grade of zero on the exam. Other remedies, such as adjusting credit for other exams, may be considered.
Disabled students must register with Disability Resources and be identified to the course instructor through the University's online process in order to use reasonable accommodations.
It is the University's goal that learning experiences be as accessible as possible. If you anticipate or experience physical or academic barriers based on disability, please let me know immediately so that we can discuss options. You are also welcome to contact Disability Resources 520-621-3268 to establish reasonable accommodations.
Please be aware that the accessible table and chairs in this room should remain available for students who find that standard classroom seating is not usable.
The grade of "I" will be awarded if all of the following conditions are met:
The information contained in the course syllabus, other than the grade and absence policies, is subject to change with reasonable advance notice, as deemed appropriate by the instructor.