MATH 364: Introduction to Scientific Computing

Teaching with Sakai Innovation Award: 
2008
Award Status: 
Entry

This course is intended to help students develop a basic competence in scientific computing. Students will be given a high level introduction to computing in MATLAB and LATEX as well as the creation, access and manipulation of databases. A broad collection of basic numerical techniques will be presented, including approximation methods, iterative methods for root finding, linear algebra applications solving matrix-vector problems and linear systems. The course is taught online and we use Sakai http://www.sakaiproject.org/ and Elluminate Live for virtual lectures, e-whiteboard and office hours. Each student will have an account to access Sakai to drop off homework, see grades and get copies of the lecture notes among other features. Every Saturday the student will access Elluminate for the live lecture, interact with the professor and the other students in the class.

Course Number/ID: 
CGU MATH 364.1 FA07
Course Length (number of weeks): 
16
Course Delivery Mode: 
Hybrid/Blended (some face-to-face and some online interactions)
Average Number of Enrolled Students: 
Between 10 and 30 students
Course Level: 
Graduate
Course Contributors: 

Instructor is Dr. Claudia Rangel delivery of course is through Sakai synchronous and asynchronous, Instructor lives in Mexico course is through Claremont Graduate University in California.

Course Development: 

This course is designed to enable students to 1. Develop computing proficiency by learning and implementing the methods described on the computer. 2. Develop problem-solving skills 3. Improve mathematical skills Students completing this module will be able to 1. Demonstrate a basic competence in scientific computing 2. Work on a mathematics clinic and other work in industrial applied mathematics 3. Design computer algorithms to solve mathematical problems This is best achieved through working in an online environment

Course Delivery: 

Students will be given a high level introduction to computing in MATLAB and LATEX as well as the creation, access and manipulation of databases. A broad collection of basic numerical techniques will be presented, including approximation methods, iterative methods for root finding, linear algebra applications solving matrix-vector problems and linear systems. The course is taught online and we use Sakai http://www.sakaiproject.org/ and Elluminate Live for virtual lectures, e-whiteboard and office hours. Each student will have an account to access Sakai to drop off homework, see grades and get copies of the lecture notes among other features. Every Saturday the student will access Elluminate for the live lecture, interact with the professor and the other students in the class.

Communication & Collaboration Self-Assessment: 
Excellent
Communication & Collaboration Evidence: 

Communication each Saturday as class through Elluminate. Office hours through Elluminate, Discussion, and chat. Use of LaTeX for submission of assignments

Learning Material Self-Assessment: 
Excellent
Learning Material Evidence: 

The written material, students can clearly understand all components, structure, sequencing, and expectations. Roles are clearly delineated both in written and visual form.

Learning Outcomes & Assessment Self-Assessment: 
Excellent
Learning Outcomes & Assessment Evidence: 

Course goals/ outcomes are clearly defined and aligned with content.Interaction and communication between students, peers, faculty, and content are provided in a variety of ways with choices sometimes available. Activities to help students gain critical thinking/judgment and problem-solving skills are integrated. Students are encouraged to generate course content using traditional or new media.

Course Look & Feel, Web Usability Self-Assessment: 
Excellent
Course Look & Feel, Web Usability Evidence: 

Course is well-organized and easy to navigate. Different types of medias are used to suit best the nature of the content to be communicated.

Learner Support Self-Assessment: 
Excellent
Learner Support Evidence: 

Course contains extensive information about the online and/or campus environment and requirements for this particular course. A variety of resources and contact information is clearly presented. On the fly support material is developed throughout the semester if needed.

Teaching Innovation: 

Use of a variety of software including Elluminate to communicate to students at a distance. Advanced graduate level course taught at a distance with three face to face meeting only.

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