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Spring 2004: BIOL 536: Computational Biology

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overview

overview

 location  10 Leidy Laboratories
 time  MW 3:30-5
 syllabus  BIOL 536 Syllabus

Biology 536 is an introductory computational biology course designed for both biology students and computer science, engineering students. The course will cover fundamentals of algorithms, statistics, and mathematics as applied to biological problems. In particular, emphasis will be given to biological problem modeling and theoretical perspectives. Students will be expected to learn basic algorithm principles, basic mathematical and statistical proofs, and molecular biology. As mentioned, emphasis is on general principles of biological information analyses, this course will not cover the usage of standard bioinformatics tools.

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instructors

professors

Junhyong Kim
206 Goddard Laboratories
junyhong@sas.upenn.edu
+1 215 746.5187



teaching assistants

NA


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course information

course information

textbook

No book

grading and exams

  • In-course exams (3 total): 75%
  • Final Project: 25%
  • Exercises: Bonus point

    There will be three short exams given during the semester. These exams will be modularized to the material covered in the previous periods. Each student will be expected to also submit a final project. The final project will be specific individualized assignments handed out after Spring break. Every week, exercise problems will be posted to help with concrete understanding of the lecture material. These problems will not be graded per se, but if you hand them in BONUS points will be given (see below for how bonus points will be used). Other impromptu opportunities to collect BONUS points will be presented during lectures.

    Make up exams will be given only if you submit a request for permission prior to the exam. No makeup will be given if requested after the exams unless you have documented emergency.

lecture schedule

Please refer to the BIOL 536 PDF talk schedule for more information on this course.

academic integrity

All relevant University policies regarding Academic Integrity must be followed. This includes no cheating, no plagiarism and reporting any knowledge thereof. Please consult the Student Handbook or the appropriate web-page: http://www.college.upenn.edu/responsibilities/integrity.html

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downloads

downloads

 schedules
 assignments + handouts
  • NA
 online Blackboard resources
 exams
  • NA

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course updates

course updates

12/17/2003
Other Information

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Courses
Department of Biology
School of Arts and Sciences
University of Pennsylvania

last updated January 12, 2006