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01:447:203 HONORS COMPUTATIONAL GENETICS

 

This course is a computer-based lab course.

All Genetics majors must complete a lab course requirement to fulfill the degree requirements.  The lab course requirement can be satisfied by taking either this course or 01:447:315 or 01:694:214 or 01:694:215 or 01:447:302 or 01:447:303.

Offered

Fall Term Only, Tuesdays and Fridays, 10:20AM-1:00PM

Credits

3

Prerequisites

Students must have previously completed General Biology I and II (01:119:115 and 01:119:116) or have placed out of these two courses (e.g., through AP credit or approved transfer credit).

Course Restrictions

Students must be in their first or second year at Rutgers in an approved Honors program (e.g., the Honors College or the SAS Honors Program).  

Course Description

Honors computational genetics is a computer-based laboratory course that introduces students to the use of computers in biological research. This course is for freshman and sophomore Honors students who are thinking of careers at the intersection of life sciences, statistics, and/or computer science, particularly students who are considering majoring in Genetics. The course fulfills the laboratory requirement for the Genetics major.  

In the first half of the course, students will receive instruction in introductory computer programming (Python) and the UNIX operating system. In the second half of the course, students will practice using Python and UNIX software packages to analyze genetic and genomic data. Each class consists of a mixture of lecture and computer-based demos and/or exercises, as well as time for students to work on assignments. The course provides the introductory skills needed to conduct basic computational research in the life sciences, including many aspects of computer programming and data analysis.

This course meets guidelines for an honors course specifically by providing close contact with faculty (faculty to student ratio of approximately 1 to 5), covering topics with expanded scope and providing exercises that are more in-depth than in traditional courses.

Course Goals

The goals of Honors Computational Genetics reflect the learning goals of the Department of Genetics, and include 1) knowledge specific goals: know the terms, concepts and theories in genetics; 2) integrate the material from multiple courses and research.

Core Curriculum Learning Goals Met by this Course

Info Tech & Research [ITR].  Goal y: Employ current technologies to access information, to conduct research, and to communicate findings.

Course Syllabus

Fall 2017 Syllabus

Course Materials

The computer lab has Windows computers. No textbook is required as most of the needed material is made available during class. 

Exams, Assignments, and Grading Policy

Attendance is expected at all classes; in-class demos and exercises are an integral part of this class and it is difficult to make-up work when class is missed. Students are responsible for being aware of all assignment due dates, which are included with each assignment. Changes to due dates or lecture topics are made in class and/or will be posted on the class Sakai website. There are no late submissions. There is no extra credit or make-up work available for this class. The course is graded on the basis of weekly assignments, short quizzes, and Mid-term and Final Exams.   The following grading scale will be used:   90% A   87% B+   80% B   77% C+   70% C.  D and F grades will be determined based on the final score distribution at the end of the couse.

Computer Use

A username and password is assigned to use on the computers in the computer lab for the duration of the course. These student accounts provide individual space for class work. Work can be done outside of the computer lab on a personal computer. Printing is not available during class. 

Course Closed?

If this course is closed, please use the following link to add your name to the wait list: Wait List Sign Up for Fall 2018 Courses .

If you have any questions, please contact the Department of Genetics Undergraduate Education Office in Nelson Biological Laboratories Room B416 or call (848) 445-1146.

Faculty

Dr. Chris Ellison (Course Director)

Nelson B420

Phone: (848) 445-3841

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Dr. Tara Matise

C-205 Nelson Biological Laboratories

Phone: (848) 445-3125

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.


** All information is subject to change at the discretion of the course coordinator.

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