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The form the schedule of performance and delivery of works

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SYLLABUS

 

Discipline: CS106 Introduction to Elementary Algorithms

Number of credits: 2 credits

Term: Spring 2011

Instructor’s full name: MSc Satabaldiyev A.B.

Information on the instructor Time and place Contact information
Room Office hours (TSIS) Tel.:
Satabaldiyev A.B.   By appointment 2297774 (ext.114)

 

Pre-requisites

Math153 Introduction to Mathematical Logic, CS101 Algorithms and programming languages

Course goals and objectives

¢This course introduces students to the analysis and design of computer algorithms.

¢After year of studying students will improve their programming language skills.

Literature

Introduction to Algorithms, Second Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

2. Data Structures and Algorithms. Reading, MA: Addison-Wesley, 1983.
Revised and more elementary version of the first six chapters of The Design and Analysis of Computer Algorithms.

3.Knuth, Donald E. The Art of Computer Programming. 3rd ed.
Encyclopedic work in three volumes: (1) Fundamental Algorithms, (2) Seminumerical Algorithms, and (3) Sorting and Searching.

 

4.Internet resources:

http://www.algoprog.kz http://www.acmp.ru http://www.acm.uva.es

Course Structure:

Total: 14 weeks - Jan 17, 2011 – May 21, 2011

Lectures – 2 h/wk

Lab session – 1 h/wk

Grading criteria

Types of tasks Grading percentage
Attendance and participation 10%
Laboratory works 12%
Quizzes 10%
SSS 15%
SSSI 12%
Mid-term exam 16%
Final exam 25%
Total 100%

The form the schedule of performance and delivery of works

 

Type of evaluation Week
                               
  Attendance and participation * * * * * * * * * * * * * *    
  Laboratory works * * * * * *   * * * * * * *    
  Quizzes       *               *        
  SSS * * * * * *   * * * * * * *    
  SSSI * * * * * *   * * * * * * *    
  Mid-term exam             *                  
  Final exam                             *  
  Total                                

 

 

LECTURE PLANS

Week Name of topic SSS SSSI
  Introduction ·Course Objectives ·Grading Policy ·Collaboration Policy ·Loops Assignment #1   - “perfect” numbers - palindrome - longest “zero” sequence - sum of digits
  Arrays and basic sorting algorithms ·Revision of a first contest ·Arrays ·Sorting(Bubble, Selection, Insertion) ·Two-dimentional arrays Assignment #2 - set intersection - time sorting - a year balance problem - painter problem
  Recursion I ·Contest's tiny points ·Recursion ·The Fibonnaci sequence ·The Towers of Hanoi ·The Labyrinth problem Assignment #3 - sum of two numbers - box problem - finding the shortest path from labyrinth
  Recursion II ·Euclidian algorithm ·QuickSort ·MergeSort ·Basic Combinatorics Assignment #4 - half sorting problem - bus ticket operation - huge gcd
  Data structures ·Stack ·Examples on Stack ·Queue ·Examples on Queue Assignment #5 - polish notation - correct bracket sequence - next greater number - two knights
  Basic geometry ·Coordinate plane ·Area of a triangle and polygon ·Point in a triangle ·Lines intersection ·Comparing double values Assignment #6 - Finding intersection of two lines - Shooter problem - Area of a polygon
  Heaps and Heap Sort ·Binary trees ·Heap properties ·Insertion and deleteing minimum number ·Heapsort Assignment #7 - building min and max heap from an array - implementation of min_heapify method.
  Midterm Examination    
  Dynamic Programming I ·General overview ·Top-down approach ·Bottom-up approach ·Common characteristics Assignment #8 - knapsack problem - monkey and bananas problem - investment possibilities
  Dynamic Programming II ·Equipment replacement ·Nonadditive recursions ·“Linear” decision-making Assignment #9 - longest increasing subsequence - optimal strategy for a game - box stacking
  Asymptotic analysis Introduction “Big Oh” notation “Omega” notation “Theta” notation Assignment #10 - solve problems from 192.168.0.8/~askar/introduction-to-algorithms/week11/
  Introduction to Graph Theory ·Definitions and notations ·Depth-first search ·Breadth-first search Assignment #11 - Krypton factor - Trip routing - Theseus and the Minotaur
  Graph Theory II ·Prim's algorithm ·Kruskal's algorithm ·Nearest neighbour algorithm Assignment #12 - Getting in Line - Edge Coloring - Border  
  Graph Theory III ·Bellman-Ford algorithm ·Dijkstra's algorithm ·Ford-Fulkerson algorithm Assignment #13 - Shipping Routes - Oil Deposits - Street Directions
  Final Examination    

 

List of labs

N week Name of the topic Name of Labs
  Loops http://www.algoprog.kz ACC #1
  Arrays http://www.algoprog.kz ACC #2
  Recursion I http://www.algoprog.kz ACC #3
  Recursion II http://www.algoprog.kz ACC #4
  Data Structures http://www.algoprog.kz ACC #5
  Basic Geometry http://www.algoprog.kz ACC #6
  Heap, HeapSort http://www.algoprog.kz ACC #7
8 9 Dynamic Programming I http://www.algoprog.kz ACC #8
  Dynamic Programming II http://www.algoprog.kz ACC #9
  Asymptotic Analysis http://www.algoprog.kz ACC #10
  Introduction to Graph Theory http://www.algoprog.kz ACC #11
  Graph Theory I http://www.algoprog.kz ACC #12
  Graph Theory II http://www.algoprog.kz ACC #13

 

Knowledge control forms:

Quizes: 2 times in a semester

Midterm Examination: 1 time in a semester

Final Examination: 1 time in a semester, within period of examination session

 


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