NMNV468: Numerical Linear Algebra for data science and informatics Summer 2020 Syllabus
Instructor: Dr. Erin C. Carson Email: [email protected] Office: 461, Karlín building Office Hours: By appointment
Meetings: Friday 10:40AM-12:10PM (přednáška), Friday 12:20PM-1:50PM (cvičení), KNM Seminar room
Course Description: The main goal of the course is to understand basic concepts of numerical linear algebra and where such computations arise in data science applications. The focus is on developing an understanding of the mathematical foundation of techniques in informatics and data science and informatics. The goal is also to gain practical experience via basic programming examples and to become familiar with recent research topics in the area.
The first seven weeks of the course will be in a lecture format at the prescribed time. The second half of the course (beginning on 10.4.2020) will be self-paced study of assigned readings; no lectures or exercises will be held after this date.
Grading:
The final grade will be based on the final exam. In order to qualify to take the final exam, the student must have turned in all required summaries for assigned readings.
Course Website:
Lecture slides, assigned readings, and other relevant materials will be posted on the course Moodle website:
https://dl1.cuni.cz/enrol/instances.php?id=9187
Students should self-enroll in the course to access the materials.
Assignments/Homework:
There will be 9 assigned readings in the second half of the course. These will be comprised of recent
academic papers and survey articles. For each assigned document, the student must submit a short (no more than 1/2 page) review of the paper, which includes a summary, critical analysis, and points they found interesting. The deadline for submission of the summaries is the start of the exam period (25.5.2020).
Final Exam:
The final exam will be in the format of a written report. The topic will be on the current state-of-the-art in one chosen application area involving data science, informatics, and numerical linear algebra. The report should discuss 1 or 2 recently-published academic works in this area, the main computational challenges, and modern algorithms and software used. The particular topic is to be chosen by the student subject to
approval of the instructor.
The written report may be submitted any time during the exam period.
