Computing for Scientists
- MESSAGE OF THE DAY:
Welcome to CSC210: Computing for Scientists.
Department of Computer Science wishes you a happy, healthy, and successful
The aim of this one-semester course is to provide an introduction
to the important task of grappling
with scientific problems with the help of numerical
computations. Examples such as computing sqrt(2) to 16 digits, population
models, chemical reactions, tumor growth, epidemics, mechanical
systems, genetic sequence anaylsis, etc., will be examined.
The primary computational tools will be PHASER, R, and Python
programming Language. Some of the underying numerical algorithms
and programming techniques will be introduced as appropriate.
No previous knowledge of programming is required.
There is no textbook. We will use many sources: book chapters,
papers, softwares, and guest lecturers.
- We will use the following softwares which will be provided free of charge:
- Phaser: A Universal Simulator for Dynamical Systems
- The R Project for Statistical Computing
- Python Programming Language
- Computing for Scientists
- Python for Biologists
- R for Biologists
- Online Resources:
- Web resources for the course are listed at
Scientific Computation Online Resources.
- Lectures -- Time and Place:
- Tuesdays and Thursdays 2.00-3.15PM; UNGAR 305, Computing Lab.
- Homework help sessions Tuesdays 5.00-6.30PM, Computing Lab.
Here is more info about the
- Hüseyin Koçak
Electronic Mail: firstname.lastname@example.org
Personal Office: Ungar 310G. Tel: 305-284-3138
Main Office: UB310A. Tel: 305-284-2268, Fax:305-284-2264
Personal Web page:
Personal Web page.
- Teaching Assistants:
- Nathaniel Dean, PRISM TA.
Electronic Mail: email@example.com
- Office Hours:
Prof. Kocak: Tuesdays 3:30-5:00PM, Thursdays 3.30-4:00PM.
Tuesday 11:00a - 12:00p, 3:15 - 4:15p;
Thursday 10:00a - 11:00a.
Please send me an e-mail if you want to set up a meeting with me.
- Problem Session:
Tuesdays: 5:00PM - 6:00PM (in the lab).
- Homework submission:
Homeworks will be accepted through Blackboard. Please follow the
Your grade will be based on weekly assignments (40%) and two examinations (30% + 30%).
- Weekly agenda:
- Week 1; Assignment due at midnight September 9, 2023
- Week 2; Assignment due at midnight September 16, 2023
- Week 3; Assignment due at midnight September 25, 2023
- Week 4; Assignment due at midnight October 2, 2023
- Week 5; Assignment due at midnight October 9, 2023
- Midterm Examination: Thursday, October 26, 2023, 7.00 - 9.00 PM, in The Lab.
- Week 6; Assignment due at midnight October 23, 2023
- Week 7; Assignment due at midnight November 6, 2023
- Week 8; Assignment due at midnight November 13, 2023
- Week 9; Assignment due at midnight November 20, 2023
- Week 10; Assignment due at midnight November 30, 2023