This page is for archival purposes only!
Students should use
ODTU-Class
There will be 40 lectures given by the instructors, each lasting 1 class hour. The table below is a rough guideline for the content of course lectures. Professors may reorder content as necessary/desired.
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Week 1:
Mar.7-11 |
1 | Introduction to Course |
| 2 |
Chapter 0. Review of Algebra §0.4: Operations with Algebraic Expressions. |
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| 3 |
§0.3: Exponents and Radicals. §0.7: Equations, in Particular Linear Equations. |
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Week 2:
Mar.14-18 |
4 |
§0.5: Factoring. §0.8: Quadratic Equations. |
| 5 |
Chapter 2. Functions and Graphs §2.1: Functions. §2.2: Special Functions. §2.3: Combinations of Functions. |
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| 6 |
§2.4: Inverse Functions. §2.5: Graphs in Rectangular Coordinates. |
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Week 3:
Mar.21-25 |
7 |
Chapter 3. Lines, Parabolas, and Systems §3.1: Lines. §3.2: Applications and Linear Functions. |
| 8 |
§3.3: Quadratic Functions. §3.4: Systems of Linear Equations. §3.5: Nonlinear Systems. |
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| 9 |
Chapter 4. Exponential and Logarithmic Functions §4.1: Exponential Functions. §4.2: Logarithmic Functions. |
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Week 4:
Mar.28-Apr.1 |
10 |
§4.3: Properties of Logarithms. §4.4: Logarithmic and Exponential Equations. |
| 11 |
Chapter 5. Mathematics of Finance §5.1: Compound Interest. §5.2: Present Value. |
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| 12 |
§5.3: Interest Compounded Continuously. |
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Week 5:
Apr.4-8 |
13 |
§5.4: Annuities. |
| 14 |
Chapter 8. Introduction to Probability and Statistics §8.1: Basic Counting Principle and Permutations. §8.2: Combinations and Other Counting Principles. |
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| 15 |
§8.3: Sample Spaces and Events. §8.4: Probability. |
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Week 6:
Apr.11-15 |
16 |
§8.5: Conditional Probability and Stochastic Processes. §8.6: Independent Events. |
| 17 |
§8.7: Bayes's Formula. |
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| 18 | Chapter 8: Review | |
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Week 7:
Apr.18-22 |
19 |
Chapter 9. Additional Topics in Probability §9.1: Discrete Random Variables and Expected Value(skip variance). |
| 20 |
§9.2: The Binomial Distribution. |
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| 21 | Study Day | |
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Week 8:
Apr.25-29 |
22 |
Chapter 11.Differentiation §11.1: The Derivative. §11.2: Rules for Differentiation. |
| 23 |
§11.4: The Product Rule and the Quotient Rule. §11.3: The Derivative as a Rate of Change. |
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| 24 |
§11.5: The Chain Rule. |
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| HOLIDAY: Mon-Wed, 2-4 April | ||
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Week 9:
May 9-13 |
25 |
Chapter 12. Additional Differentiation Topics §12.1: Derivatives of Logarithmic Functions. §12.2: Derivatives of Exponential Functions. |
| 26 |
§12.3: Elasticity of Demand. |
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| 27 |
§12.4: Implicit Differentiation. |
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Week 10:
May 16-20 |
28 | Chapter 12: Review |
| 29 |
Chapter 13. Curve Sketching §13.1: Relative Extrema. §13.2: Absolute Extrema on a Closed Interval. |
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| 30 |
§13.3: Concavity. §13.6: Applied Maxima and Minima. |
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| Holiday: Thursday, 19 May | ||
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Week 11:
May 23-27 |
31 |
Chapter 14. Integration §14.1: Differentials. §14.2: The Indefinite Integral. |
| 32 |
§14.3: Integration with Initial Conditions. §14.4: More Integration Formulas. |
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| 33 |
§14.5: Techniques of Integration. |
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Week 12:
May 30-June 3 |
34 |
§14.7: The Fundamental Theorem of Calculus. |
| 35 |
§14.9: Area Between Curves. §14.10: Consumers' and Producers' Surplus. |
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| 36 |
Chapter 15. Methods and Applications of Integration §15.1: Integration by Parts. |
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Week 13:
June 6-10 |
37 |
§15.3: Integration by Tables. |
| 38 |
§15.5: Differential Equations. |
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| 39 |
§15.6: More Applications of Differential Equations. |
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Week 14:
June 13-17 |
40 |
Chapter 16. Continuous Random Variables §16.1: Continuous Random Variables. |
| 41 |
§16.2: The Normal Distribution. |
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| 42 |
§16.3: The Normal Approximation to the Binomial Distribution. |
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| FINAL EXAMS: 20 June -- 2 July | ||