Presentation is loading. Please wait.

Presentation is loading. Please wait.

1 Math 140 Data Structures and Algorithms Course Overview Lecture # 00 01/20/15.

Similar presentations


Presentation on theme: "1 Math 140 Data Structures and Algorithms Course Overview Lecture # 00 01/20/15."— Presentation transcript:

1 1 Math 140 Data Structures and Algorithms Course Overview Lecture # 00 01/20/15

2 Overview Syllabus The Importance of Data Structures and Algorithms Review of Java Preparing for projects  Eclipse/Netbean exercises  Code style conventionsconventions

3 Missing Class It’s your responsibility to ask classmates for notes if you miss class.

4 4 M140 Course Description Intermediate course in computer science  Training in program design and development.  Introduction to data structures: lists, stacks, queues, trees, and graphs.  Implementation and analysis of important algorithms and design patterns: recursion, divide and conquer, dynamic programming, sorting, and searching algorithms

5 5 Math 140 Meeting Times  Lecture: Tue, Thu: 12:00 pm - 1:15 pm, rm 394  Lab: Tue, Thu: 1:25 pm - 2:40 pm, rm 394 Class Webpages:  swccd.blackboard.com  swccd.edu/~bsmith dept.swccd.edu/bsmith 

6 6 Instructor Contact Info  Bruce Smith, Prof. of Mathematics  Phone: , x5291   Office: room 390d  Office hours: M,W: 8 am – 8:50 am M: 12 pm – 12:50 pm –You can also contact me to setup an appointment outside these hours!

7 7 Textbook and Materials Required:  Algorithms, Fourth Edition, by Robert Sedgewick On-line reference:  docs.oracle.com/javase docs.oracle.com/javase  External storage device req’d  eg, USB flash drive

8

9 9 Books on Reserve

10 10 Evaluation Policy Semester Grade Evaluation Policy Quizzes (~9) 40% Projects (~6) 20% Midterm (1) 20% Final Exam 20% Total: 100% course grade = 0.4* avg_quiz * avg_proj + 0.2* avg_exam + 0.2* final_exam excuse reducer: lowest quiz dropped

11 Attendance You can be dropped if you have more than 4 absences Tardiness and early departures may also be counted as absences Lowest quiz dropped for those with fewer than 4 absences and class participation  if absent for a quiz, these will be your “freebies.” Student: “My friend is getting married and I have to miss class next week. Can I make up the exam?” Me: “Enjoy the wedding. If there’s a quiz that you missed, then this will be your freebie. No makeups allowed.”

12 Projects Assignments are submitted via Blackboard All assignments MUST be submitted as a.zip compressed file.  You should generally submit ONE item: a.zip that contains everything. Your name should be present in each file you submit

13

14 Code Conventions Link herehere

15 15 Labs Same room as lecture, rm 394 Posted on Blackboard Submitted via Blackboard Work on projects, quizzes, exams, and case studies. Also, lab time may extend lecture material. Attendance is required

16 16 DSS Please see me within the first 2 weeks of class if there are special needs Or call DSS at  Voice: (619)  TTY: (619)

17 17 Class Policies No food or drink (water bottles OK)‏ Cell phones silent No children or visitors without prior permission Lab computers are for class-related work.

18 18 Class Policies “penalty grades”  If you are found cheating or helping someone cheat, you may receive as much as (–)50% of the assignment’s value Students (both the giver and the receiver) involved in cheating and/or plagiarism will receive a “penalty grade” on the assignment and, at the discretion of the instructor, earn a failing grade in the class.  Also see SWC Course Catalog regarding student conduct.

19 Algorithms (run this on codepad.org) Efficiency of algorithms:  linear search vs binary search  ~N vs ~lg N static int search(int a[], int v, int l, int r) { int m = (l+r)/2; while (r >= l) { if (v == a[m]) return m; if (v < a[m]) r = m-1; else l = m+1; } return -1; }

20 Data Structures Arrays Linked Lists Trees Graphs

21 21 Fundamental concepts of OOP object class method parameter data type

22 22 Demo: Using BlueJ to explore objects

23 23 Objects and classes objects  represent ‘things’ from the real world, or from some problem domain (example: “the red car down there in the car park”)‏ classes  represent all objects of a kind (example: “car”)‏

24 24 Methods and parameters Objects have operations which can be invoked (Java calls them methods). Methods may have parameters to pass additional information needed to execute.

25 25 Other observations Many instances can be created from a single class. An object has attributes: values stored in fields. The class defines what fields an object has, but each object stores its own set of values (the state of the object).

26 26 State

27 27 Two circle objects

28 the power of Eclipse create a Name class  instance variables: first, last  “setty” and “getty” methods mutators and accessors  main() to use/test the methods

29 Lab Work File I/O and arrays  practice code to read and write files  given a file of 100,000 numbers, find the average value 

30 30 Lab Work, part I DOS/Command Shell overview Running Java from the Command Line File I/O examples File submission: a.zip Explore compilers:  BlueJ, TextPad, and Eclipse Discuss software download for home use  Java, BlueJ, Eclipse, Notepad++ Resources  eclipse.org, bluej.org, java.sun.com eclipse.org


Download ppt "1 Math 140 Data Structures and Algorithms Course Overview Lecture # 00 01/20/15."

Similar presentations


Ads by Google