Methods of Mathematical Analysis
Summer Semester 2017
Lecturer: Clayton Greenberg
This course derives the most relevant results in calculus, mathematical logic, and linear algebra and applies those to some machine learning / natural language processing tasks. Material will be presented at a level aimed as a gentle reintroduction to topics that may not have been used in recent studies. However, students will be expected to participate actively in class and complete regular take-home exercises, in order to achieve operational competency by the end of the semester.
Suitable for: LST / LCT / Computer Science / CuK
Meetings: Wednesdays 12-14 c.t. beginning April 19, E1.3 HS002
Grading: written exam 100%
Exam qualification: must obtain 50 points on written exercises
In email related to this course: please use the subject tag [MoMA]
Eccles, P. J. (1997). An Introduction to Mathematical Reasoning: numbers, sets and functions. Cambridge University Press.
Lay, D. (2005). Linear Algebra and Its Applications, 3rd Updated Edition. Addison Wesley.
Stewart, J. (2002). Calculus: Early Transcendentals, 5th Edition. Brooks Cole.