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Your search for courses for 20/FA and with code: MATHELEC found 8 courses.
CS 252.00 Algorithms 6 credits
Closed: Size: 34, Registered: 34, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 1:00pm2:10pm | 1:00pm2:10pm | 1:50pm2:50pm |
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A course on techniques used in the design and analysis of efficient algorithms. We will cover several major algorithmic design paradigms (greedy algorithms, dynamic programming, divide and conquer, and network flow). Along the way, we will explore the application of these techniques to a variety of domains (natural language processing, economics, computational biology, and data mining, for example). As time permits, we will include supplementary topics like randomized algorithms, advanced data structures, and amortized analysis.
Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)
CS 254.00 Computability and Complexity 6 credits
Open: Size: 34, Registered: 19, Waitlist: 0
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| 11:30am12:40pm | 11:30am12:40pm | 11:20am12:20pm |
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An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.
Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)
MATH 240.00 Probability 6 credits
Closed: Size: 30, Registered: 29, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 8:30am9:40am | 8:30am9:40am | 8:30am9:30am |
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(Formerly Mathematics 265) Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.
Prerequisite: Mathematics 120 or Mathematics 211
MATH 240.02 Probability 6 credits
Open: Size: 30, Registered: 28, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 10:00am11:10am | 10:00am11:10am | 9:50am10:50am |
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(Formerly Mathematics 265) Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.
Prerequisite: Mathematics 120 or Mathematics 211
MATH 295.00 Numerical Analysis 6 credits
Closed: Size: 25, Registered: 26, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 7:00pm9:30pm | 7:00pm9:30pm |
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Methods of numerical appoximation and applications to scientific computing and data analysis. Topics will be selected primarily frm numerical linear algebra and optimization. Theory, implementation and application of numerical algorithms will be emphasized.
Prerequisite: Mathematics 232
MATH 321.00 Real Analysis I 6 credits
Open: Size: 28, Registered: 19, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 10:00am11:10am | 10:00am11:10am | 9:50am10:50am |
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Prerequisite: Mathematics 236 or instructor permission
MATH 342.00 Abstract Algebra I 6 credits
Open: Size: 28, Registered: 26, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 2:30pm3:40pm | 2:30pm3:40pm | 3:10pm4:10pm |
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Prerequisite: Mathematics 236 or instructor permission
MATH 344.00 Differential Geometry 6 credits
Open: Size: 28, Registered: 26, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 1:00pm2:10pm | 1:00pm2:10pm | 1:50pm2:50pm |
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Prerequisite: Mathematics 236 or permission of the instructor.
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