2018 Concrete Mathematics

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Academic unit or major
Undergraduate major in Information and Communications Engineering
Instructor(s)
Uyematsu Tomohiko  Tayu Satoshi 
Course component(s)
Lecture
Day/Period(Room No.)
Mon5-6(H113)  Thr5-6(H112)  
Group
-
Course number
ICT.M306
Credits
2
Academic year
2018
Offered quarter
2Q
Syllabus updated
2018/6/28
Lecture notes updated
2018/8/6
Language used
Japanese
Access Index

Course description and aims

In this course, we will explain the mathematical notationused in the analysis and design of algorithms, and explain how to use several basic formulas used repeatedly. Even for students who are not interested in mathematical theories, let them understand the meaning of various formulas so that they can make use of the results of their mathematical research. At the same time, we train the students in order to obtain the ability to learn by themselves and acquire knowledge. Therefore, in the class, we do not explain course textbooks, but teach how to use knowledge you learned through exercises. When the students graduate from the university and go to the real society, it is almost impossible to be taught by someone, and this course prepares for the fact that there is no way to acquire new knowledge other than learning by reading books.

Student learning outcomes

At the end of this course, students will be able to:
1) Acquire the mathematical technique used to analyze the algorithm.
2) Understand the usage and meaning of basic formula in discrete mathematics.
3) Solve specific problems by utilizing learned knowledge.

Keywords

discrete mathematics, recurrence, sum, number theory, binomial coefficients, Starling number, Euler number, harmonic number, generating functions

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills
- - -

Class flow

In the class, we do not explain the course textbook, but teach how to use knowledge you learned through exercises. To maximize the efficiency of the class, be sure to peruse the course textbook.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Recurrent Problems Peruse Sec.1 through Sec.3 of the course textbook 2 before coming to class.
Class 2 Sums 1 Peruse Sec.4 and Sec.5 of the course textbook 2 before coming to class.
Class 3 Sums 2 Peruse the rest of the course textbook 2 before coming to class.
Class 4 Sums 3 Peruse all the course textbook 3 before coming to class.
Class 5 Integer Functions Peruse Sec.1 through Sec.6 of the course textbook 4 before coming to class.
Class 6 Number Theory 1 Peruse the rest of the course textbook 4 before coming to class.
Class 7 Number Theory 2 Peruse Sec.1 of the course textbook 5 before coming to class.
Class 8 Binomial Coefficients 1 Peruse Sec.2 of the course textbook 5 before coming to class.
Class 9 Review and Small Examination Review the textbooks 1 through 4.
Class 10 Binomial Coefficients 2 Peruse Sec.3 of the course textbook 5 before coming to class.
Class 11 Binomial Coefficients 3 Peruse Sec.1 of the course textbook 6 before coming to class.
Class 12 Special Numbers 1 Peruse Sec.2 of the course textbook 6 before coming to class.
Class 13 Special Numbers 2 Peruse Sec.3 of the course textbook 6 before coming to class.
Class 14 Special Numbers 3 Peruse all the course textbook 7 before coming to class.
Class 15 Generating Functions Review all the textbooks.

Textbook(s)

Course materials are provided during class. All materials used in class can be found on OCW-i.

Reference books, course materials, etc.

R. L. Graham, D. E. Knuth, and P. Patashnik, Concrete Mathematics, Addison-Wesley, 1989.
D. E. Knuth, The Art of Computer Programming, Volume 1, 3rd. Edition, Addison-Wesley, 1998.

Assessment criteria and methods

Students’ course scores are based on small exam (50%) and final exams (50%).

Related courses

  • LAS.M101 : Calculus I / Recitation
  • GRE.C101 : Foundations of Computer Science I
  • GRE.C102 : Foundations of Computer Science II

Prerequisites (i.e., required knowledge, skills, courses, etc.)

No prerequisites.

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