Schedule

πŸ“”: Notes πŸ–₯️: Slides πŸ—’οΈ: Worksheet ✍️: Homework πŸ“–: Solutions

Date Module Topics Material Assessment
Jan 25
Lecture 1
Preliminaries Numbers and sets; Relations and functions; Summation notation; Necessary and sufficient conditions πŸ–₯️ πŸ—’οΈ πŸ—’οΈ ✍️ πŸ“–
Feb 1
Lecture 2
Linear Algebra
πŸ“”
Matrices: Addition, Subtraction, and Scalar Multiplication, Matrix Multiplication, Vectors, Identity and Null Matrices, Transpose and Inverse of a Matrix πŸ–₯️ πŸ—’οΈ ✍️ πŸ“–
Feb 8
Lecture 3
Conditions for Nonsingularity of a Matrix, Determinant of a Matrix πŸ–₯️ πŸ—’οΈ ✍️ πŸ“– Quiz 1
Feb 15
Lecture 4
Finding the Inverse of a Matrix, Cramer’s Rule, Applications πŸ–₯️ πŸ—’οΈ ✍️ πŸ“–
Feb 22
Lecture 5
Calculus
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Limit Definition of a Derivative, Limits, Continuity, Rules of Differentiation πŸ–₯️ πŸ—’οΈ ✍️ πŸ“– Quiz 2
Feb 29
Lecture 6
Exponential and Log Functions, Partial Derivatives, Total Differential and Derivative πŸ–₯️ ✍️ πŸ“–
Mar 7
Lecture 7
Implicit Function Theorem, Integration πŸ–₯️ ✍️ πŸ“– Quiz 3
Mar 14 Review Class
Mar 21 Midterm Exam
Mar 28
Lecture 8
Optimization
πŸ“” πŸ“”
Unconstrained Single-Variable Optimization, Concave and Convex Functions πŸ–₯️ πŸ—’οΈ ✍️ πŸ“–
Apr 11
Lecture 9
Multivariable Optimization πŸ–₯️ ✍️ πŸ“–
Apr 18
Lecture 10
Constrained Optimization πŸ–₯️ πŸ—’οΈ ✍️ πŸ“– Quiz 4
Apr 25
Lecture 11
Envelope Theorem Quasiconcavity, Convex sets, Homogenous Functions πŸ–₯️ πŸ—’οΈ ✍️ πŸ“–
May 2
Lecture 12
Add. Topics TBA Quiz 5
May 9 Review Class
May 16 Final Exam