Fall '99 Transfer Course Guide

Transfer Student Courses in Mathematics (Division 428)

Fall Term, 1999 (September 8 - December 22, 1999)

Take me to the Fall Term '99 Time Schedule for Mathematics.

To see what Transfer Student courses have been added or changed in Mathematics this week go to What's New This Week.


Math. 105. Data, Functions, and Graphs.

Section – Joint Evening Examinations for All Sections of Math 105, 6-8 P.M., Tues., Oct. 6 and Wed., Nov. 4. also A Joint Final.

Prerequisites & Distribution: Students with credit for Math. 103 can elect Math. 105 for only 2 credits. No credit granted to those who have completed any Mathematics course numbered 110 or higher. (4). (MSA). (QR/1).

Full QR

Credits: (4).

Course Homepage: No Homepage Submitted.

Math 105 serves both as a preparatory class to the calculus sequences and as a terminal course for students who need only this level of mathematics. Students who complete 105 are fully prepared for Math 115. This is a course on analyzing data by means of functions and graphs. The emphasis is on mathematical modeling of real-world applications. The functions used are linear, quadratic, polynomial, logarithmic, exponential, and trigonometric. Algebra skills are assessed during the term by periodic testing. Math 110 is a condensed half-term version of the same material offered as a self-study course through the Math Lab.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 2

Math. 116. Calculus II.

Section – There Will be Joint Evening Examinations for All Sections of Math 116, 6-8 P.M., Tues., Oct. 6 and Wed., Nov. 4. Also A Joint Final.

Prerequisites & Distribution: Math. 115. Credit is granted for only one course from among Math. 116, 119, 156, 176, 186, and 296. (4). (MSA). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: No Homepage Submitted.

See Math 115 for a general description of the sequence Math 115-116-215.

Topics include the indefinite integral, techniques of integration, introduction to differential equations, infinite series. Math 186 is a somewhat more theoretical course which covers much of the same material. Math 215 is the natural sequel. A student who has done very well in this course could enter the honors sequence at this point by taking Math 285.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 2

Math. 289. Problem Seminar.

Section 001.

Prerequisites & Distribution: (1). (Excl). (BS). May be repeated for credit with permission.

Credits: (1).

Course Homepage: No Homepage Submitted.

One of the best ways to develop mathematical abilities is by solving problems using a variety of methods. Familiarity with numerous methods is a great asset to the developing student of mathematics. Methods learned in attacking a specific problem frequently find application in many other areas of mathematics. In many instances an interest in and appreciation of mathematics is better developed by solving problems than by hearing formal lectures on specific topics. The student has an opportunity to participate more actively in his/her education and development. This course is intended for superior students who have exhibited both ability and interest in doing mathematics, but it is not restricted to honors students. This course is excellent preparation for the Putnam exam. Students and one or more faculty and graduate student assistants will meet in small groups to explore problems in many different areas of mathematics. Problems will be selected according to the interests and background of the students.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 2

Math. 371/Engin. 371. Numerical Methods for Engineers and Scientists.

Section 001.

Instructor(s): Zhong-Hui Duan (zduan@umich.edu)

Prerequisites & Distribution: Engineering 101, and Math. 216. (3). (Excl). (BS). CAEN lab access fee required for non-Engineering students.

No Description Provided

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Math. 395. Honors Analysis I.

Section 001.

Prerequisites & Distribution: Math. 296 or permission of the Honors advisor. (4). (Excl). (BS).

No Description Provided

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Math. 412. Introduction to Modern Algebra.

Instructor(s): Peter Hinman (pgh@umich.edu)

Prerequisites & Distribution: Math. 215, 255, or 285; and 217. No credit granted to those who have completed or are enrolled in 512. Students with credit for 312 should take 512 rather than 412. One credit granted to those who have completed 312. (3). (Excl). (BS).

No Description Provided

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Math. 413. Calculus for Social Scientists.

Section 001.

Prerequisites & Distribution: Not open to freshmen, sophomores or mathematics concentrators. (3). (Excl). (BS).

No Description Provided

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Math. 424. Compound Interest and Life Insurance.

Section 001.

Prerequisites & Distribution: Math. 215, 255, or 285. (3). (Excl). (BS).

No Description Provided

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Math. 471. Introduction to Numerical Methods.

Section 001.

Instructor(s): Zhong-Hui Duan (zduan@umich.edu)

Prerequisites & Distribution: Math. 216, 256, 286, or 316; and 217, 417, or 419; and a working knowledge of one high-level computer language. (3). (Excl). (BS).

No Description Provided

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Math. 471. Introduction to Numerical Methods.

Section 002.

Prerequisites & Distribution: Math. 216, 256, 286, or 316; and 217, 417, or 419; and a working knowledge of one high-level computer language. (3). (Excl). (BS).

No Description Provided

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Math. 481. Introduction to Mathematical Logic.

Section 001.

Instructor(s): Peter Selinger (selinger@umich.edu)

Prerequisites & Distribution: Math. 412 or 451 or equivalent experience with abstract mathematics. (3). (Excl). (BS).

Credits: (3).

Course Homepage: http://www.math.lsa.umich.edu/~selinger/481/

Course Description: Logic is the study of the formal principles of reasoning. In this course, we will study symbolic logic. We will introduce the formal languages of propositional and first-order logic, and we will learn how to formalize the notions of truth and proof. Logic is unlike any other branch of mathematics, in that we do not just prove things, but we reason about properties of proofs. For this reason, logic has sometimes been called meta-mathematics. On the other hand, the study of modern formal logic uses some of the same methods and techniques that are used in other branches of mathematics, and thus logic can also be regarded as a mathematical discipline.

Topics: In the first part of the course, we will introduce the notion of a formal language. We will study the propositional connectives, tautologies, and tautological consequences. The heart of the course is the study of first order predicate logic and its models. We will study formal proofs, establish soundness and completeness theorems, and explore some of their applications. We will see how to formalize elementary number theory. By the end of the course we should be able to state and understand Gödel's First Incompleteness Theorem.

Prerequisites: The official prerequisite, "Math 412 or 451 or equivalent experience with abstract mathematics," means that students should be comfortable with writing mathematical proofs. No specific knowledge of formal logic will be presupposed.

Course Work: There will be two in-class (1 hour) midterms and one final exam. There will also be regular homework assignments, which will be collected in class.

Grading: Grades will be based on exam performance. Each midterm counts 30% and the final 50%. Out of these 110%, the lowest 10% will be dropped. In borderline cases, homework will be the tie-breaker.

Textbook: Herbert B. Enderton. A Mathematical Introduction to Logic. Academic Press.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 2

Math. 513. Introduction to Linear Algebra.

Section 001.

Prerequisites & Distribution: Math. 412 or permission of honors advisor. Two credits granted to those who have completed Math. 417; one credit granted to those who have completed Math 217 or 419. (3). (Excl). (BS).

No Description Provided

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Math. 520. Life Contingencies I.

Section 001.

Prerequisites & Distribution: Math. 424 and Math. 425. (3). (Excl). (BS).

No Description Provided

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Math. 523. Risk Theory.

Section 001.

Instructor(s): Joseph Conlon (conlon@umich.edu)

Prerequisites & Distribution: Math. 425. (3). (Excl). (BS).

Credits: (3).

Course Homepage: http://www.math.lsa.umich.edu/~conlon/math523/index.html

Prerequisites: A solid background in probability theory at the 400 level, math 425 or equivalent.

Required Texts: Actuarial Mathematics by Bowers, Gerber, Hickman, Jones and Nesbitt, Society of Actuaries, 1986. Introduction to Credibility Theory by Herzog, Actex, 1994.

Background and Goals: Risk management is of major concern to all financial institutions and is an active area of modern finance. This course is relevant for students with interests in finance, risk management, or insurance. It provides background for the professional exams in Risk Theory offered by the Society of Actuaries and the Casualty Actuary Society.

Content: (a) Utility theory, stop-loss insurance, theory of aggregate claims, compound Poisson claims model, estimating the probability of ruin, reinsurance schemes and their implications for profit and risk. (b) Credibility theory, classical theory for independent events, least squares theory for correlated events, examples of random variables where the least squares theory is exact.

Grading: The grade for the course will be determined from performances on 8 quizzes, a midterm and a final exam. There will be 8 homework assignments. Each quiz will consist of a slightly modified homework problem.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 2

Math. 525/Stat. 525. Probability Theory.

Section 001.

Prerequisites & Distribution: Math. 450 or 451. Students with credit for Math. 425/Stat. 425 can elect Math. 525/Stat. 525 for only one credit. (3). (Excl). (BS).

No Description Provided

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Math. 537. Introduction to Differentiable Manifolds.

Section 001.

Prerequisites & Distribution: Math. 513 and 590. (3). (Excl). (BS).

No Description Provided

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Math. 555. Introduction to Functions of a Complex Variable with Applications.

Section 001.

Instructor(s): Charles Doering (doering@umich.edu)

Prerequisites & Distribution: Math. 450 or 451. (3). (Excl). (BS).

No Description Provided

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Math. 556. Methods of Applied Mathematics I.

Section 001.

Prerequisites & Distribution: Math. 217, 419, or 513; 451 and 555. (3). (Excl). (BS).

No Description Provided

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Math. 562/IOE 511/Aero. 577. Continuous Optimization Methods.

Section 001.

Instructor(s): Marina Epelman (mepelman@umich.edu)

Prerequisites & Distribution: Math. 217, 417, or 419. (3). (Excl). (BS). CAEN lab access fee required for non-Engineering students.

No Description Provided

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Math. 565. Combinatorics and Graph Theory.

Section 001.

Prerequisites & Distribution: Math. 412 or 451 or equivalent experience with abstract mathematics. (3). (Excl). (BS).

No Description Provided

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Math. 571. Numerical Methods for Scientific Computing I.

Section 001.

Prerequisites & Distribution: Math. 217, 417, 419, or 513; and one of Math. 450, 451, or 454. (3). (Excl). (BS).

No Description Provided

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Math. 575. Introduction to Theory of Numbers I.

Section 001.

Prerequisites & Distribution: Math. 451 and 513. Students with credit for Math. 475 can elect Math. 575 for 1 credit. (3). (Excl). (BS).

No Description Provided

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Math. 590. Introduction to Topology.

Section 001.

Prerequisites & Distribution: Math. 451. (3). (Excl). (BS).

No Description Provided

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Math. 591. General and Differential Topology.

Section 001.

Prerequisites & Distribution: Math. 451. (3). (Excl). (BS).

No Description Provided

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Math. 593. Algebra I.

Section 001.

Prerequisites & Distribution: Math. 513. (3). (Excl). (BS).

No Description Provided

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