COT 5615, Math for Intelligent Systems, Fall 2025
Place:MCCA; G186
Time:Monday, Wednesday, Friday 8 (3:00-3:50 p.m.)
Instructor:
Arunava Banerjee
Office: MALA 6101.
E-mail: arunava@ufl.edu.
Office hours (On Zoom-- 924 861 2325): TBD.
TAs:
Ke Chen
TA Office hours: (On Zoom-- ): TBD.
Tinghui Zhang
TA Office hours: (On Zoom-- ): TBD.
Catalog Description:
COT 5615: Mathematics for Intelligent Systems
Credits: 3 Grading Scheme: Letter
Prerequisite: MAC 2313, Multivariate Calculus; MAS 3114 or MAS 4105, Linear Algebra; STA 4321, Mathematical Statistics.
Mathematical methods commonly used to develop algorithms for computer systems that exhibit intelligent behavior.
Course Objectives:
The goal of this course is to cover several topics in mathematics that
is of general interest to people pursuing a Ph.d in intelligent systems. The
course will focus on conceptual clarity.
This course is an official pre-requisite for CAP6610 (Machine learning)
Required Text:
There is no official text book for this course. We will mostly work
with material posted online. However, following are four good books
to have.
References:
Principles of Mathematical Analysis, W. Rudin
Linear Algebra, K. M. Hoffman, R. Kunze, can be found online at
https://www.math.pku.edu.cn/teachers/anjp/textbook.pdf
Probability and Measure, P. Billingsley
Probability: Theory and examples, R. Durrett, can be found online at
https://services.math.duke.edu/~rtd/PTE/PTE5_011119.pdf
Please return to this page at least once a week to check
updates in the table below
Evaluation: The final grade will be based on three midterm exams
(25% each) and several assignments (remaining 25%).
Course Policies:
- Late assignments: All homework assignments are due before class.
- Plagiarism: You are expected to submit your own solutions to the
assignments. Feel free to discuss the concepts underlying the questions
with friends and classmates.
- Attendance: Their is no official attendance requirement. If you
find better use of the time spent sitting thru lectures, please feel free to
devote such to any occupation of your liking. However, keep in mind that it is
your responsibility to stay abreast of the material presented in class.
- Cell Phones: Please, no phone calls during class. Please turn
off the ringer on your cell phone before coming to class.
- University Honesty Policy, Campus Resources and other important
information :
See here for grad
and here for undergrad.
Tentative List of Topics to be covered
- Real analysis: Rationals and Reals, Basic point set topology,
convergence, continuity etc (approximately Chap 1-4 of Rudin)
- Vector spaces and Linear algebra (approximately Chap 1-3, 8 of Hoff. Kun.)
- Mathematical Probability theory: Sigma algebra, Random variables etc.
(approximately Chap 1. of Durett)
- Information Theory: Entropy, Mutual Information, etc.
Important Announcement
Exam Schedule
- Midterm I will be held on Sep 26th in class.
- Midterm II will be held on Oct 31st in class.
- Midterm III will be held on Dec 3rd in class.
- Each exam will last 1 hr.
- 1 letter sized cheat sheat (both sides) allowed.
Closed Book, closed notes.
- There will be no final exam.
List of Topics covered
| Week |
Topic |
Additional Reading |
Assignment |
| Aug 18 - Aug 24 |
- Introduction; what to expect in the course
|
|
|
| Aug 25 - Aug 31 |
- Proof of the Fundamental Theorem of Arithmetic (unique factorization)
- Proof of infintely many primes
- Twin primes conjecture
- Johnson Lindenstrauss lemma
- Robin's Theorem about the Riemann Hypothesis
- P versus NP
|
|
|
| Sep 01 - Sep 07 |
- Peano Axioms
- Natural numbers, Integers
- Abstract formulation of Rational Numbers
- Proof of Pythogorus Theorem
- Sqrt(2) is not rational
- Partial and Total order
- Least upper bound (Supremum) and Greatest lower bound (infimum)
|
|
|
| Sep 08 - Sep 14 |
- Least upper bound property.
- Proof: Rationals do not have the LUB property
- Theorem: LUB property IFF GLB property.
- Reals as Dedekind cuts
- Field axioms
- Fields: The rational and real fields
- Functions; injective, surjective and bijective
- Cardinality of Integers, Rationals and Reals
- Countably infinite (proof for rationals)
|
|
|
| Sep 15 - Sep 21 |
- Reals are uncountable (Cantor's diagonalization)
- Cardinality of set versus Power set (Cantor's diagonalization)
- Aleph notation.
- The continuum hypothesis
- Convergent sequence, Cauchy sequence
- Theorem: Every convergent sequence is a Cauchy sequence
- Metric spaces
|
|
|
| Sep 22 - Sep 28 |
- Metric spaces continued
- epsilon neighborhoods, limit points, interior points
- Open sets, Closed sets
- Thm: Open iff complement is closed
- Thm: epsilon neighborhood is open
- MIDTERM-1
|
|
|
| Sep 29 - Oct 05 |
- Complete Metric space; Seperable Metric Space
- Thm: Arbitrary union, Finite intersection of open sets is open
- Thm: Arbitrary intersection, Finite union of closed sets is closed
- The L_p metric.
- Definition: Topological space.
- Definition: Topological space, trivial topology, discrete topology
|
|
|
| Oct 06 - Oct 12 |
- Compact sets; properties and theorems.
- Thm: compact set is closed.
- Stmt of Heine–Borel theorem
- Continuity: Limit definition of continuous functions
- Weierstrass's definition of continuous fns
- Proof of equivalance
- Pointwise continuity, Uniform continuity
- Compactness and continuity
- Proof: Continuous functions map compact sets to compact sets.
|
|
|
| Oct 13 - Oct 19 |
- C[a,b] as a metric space
- Uniform convergence and Pointwise convergence of functions
- Lagrange Polynomials and interpolation
|
|
|
| Oct 20 - Oct 26 |
- Bernstein Polynomials; properties.
- Weierstrass Approximation theorem
|
- Proof of the WAT
- Note that there are typos on page 4. Should be K2 instead of K1 in the first two inequalities.
|
|
| Oct 27 - Nov 02 |
- Finished Weierstrass Approximation theorem
- Linear/Vector spaces; examples
- Definition of Vector/Linear space on a Field.
- Subspace, how to prove
- Span of a set of vectors (non-constructive/constructive definition)
- Midterm-2
|
|
|
| Nov 03 - Nov 09 |
- Linear independence, Basis
- Examples: Lagrange polynomial basis
- Dimension of a vector space; proof using Steinitz lemma
- Linear maps; examples
- FFT and alternationg between different representations of polynomials
- Matrix representation of a linear map
|
|
|
| Nov 10 - Nov 16 |
- Change of basis as a linear transform
- Worked out example of Lagrange Polynomials as a basis
- Composition of linear map and matrix matrix multiplication.
- Rank Nullity Theorem, proof
- Inverse of a linear map and matrix inverse
- Ax=b, solution via Gaussian elimination.
- LU decomposition
- Normed (+Complete=Banach) vector spaces.
- Lp Norms
|
|
|
| Nov 17 - Nov 23 |
- Inner product spaces: when field is real and is complex
- Inner product (+Complete=Hilbert) spaces
- Induced norm.
- Quadratic form; symmetric and Hermitian matrix
- Projection of a vector onto another
- Pythogorean theorem
- Cauchy Schwartz inequality, proof
- Triangular inequality, proof.
- Orthonormal basis; advantages.
- Gram Schmidt orthogonalization and orthonormalization
- QR Decomposition
- Determinant of a matrix and signed volume
|
|
|
| Nov 24 - Nov 30 |
|
|
|
| Dec 01 - Dec 07 |
- Fourier Series; Riesz-Fiacsher theorem
- Midterm-3
|
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