Introduction to Bioinformatics Programming

Fall 2025


Tentative Syllabus!

Subject to change before start of Fall Semester


Course Description

Computer programming in the life sciences is used for modeling and data analysis across all fields. In this course, students will learn the fundamentals of computer programming and apply it to solve real problems in the life sciences. Common syntax and thoughtful decisions on proper use of data structures will be emphasized.


Prequisites

COS majors only


Administrative details

Required Text:Coding Games in Scratch, 2019 edition, by Jon Woodcock ISBN 978-1465477330
C Programming Absolute Beginner's Guide, 3rd edition. Greg Perry and Dean Miller, ISBN-13 978-0789751980
Meetingslecture: MW 9-9:50am (*TBD*)
Workshop: Th 11am-12:50pm (*TBD*)

Contact Information

Instructor:Michael Osier
Office:08-1338
Instructor Schedulehttp://bulgogi.rit.edu/~mosier/lab/courses/fall_sched25.html
Contact:mvoscl@rit.edu

Topics and Readings

Under certain circumstances, the instructor may have to alter course requirements, assignment deadlines, and grading procedures; and the university may have to alter the academic calendar.

. Week of Monday Wednesday Workshop Homework Bonus assigned
Week 1 Aug 25 Introduction and Algorithms Basic statements, Scratch (Online reserves: "Think Like a Programmer" Chapter 1) Quiz 1, Assignment 1 - Scratch Star Hunter (Scratch) HW 1 - Modifying Star Hunter
Week 2 Sept 1 No class Monday Loops and Conditionals Quiz 2, Assignment 2 - Circle Wars (Scratch) HW 2 - Predator/Prey simulator
Week 3 Sept 8 Data types Concepts of drawing Quiz 3, Assignment 3 - Drawing fractal trees (Scratch) HW 3 - Logistic growth
Week 4 Sept 15 Subroutines in Scratch Linux command line and editors Quiz 4, Assignment 4 - Linux command line Exam review
Week 5 Sept 22 Exam 1 Introducing C - Loops and Conditionals (Chapters 2-4,11,14-15) Assignment 5 - Fill-in-the-blanks HW 4 - More complex blanks to fill
Week 6 Sept 29 C/C++ primitive data types and math operations (Chapters 5,9-10,12) Arrays, strings, and string operations(Chapters 21-22, 6, 19, 8) Quiz 5, Assignment 6 - DNA sequence GC content HW 5 - Array worksheet Sliding Window
Week 7 Oct 6 Subroutines/functions/methods (Chapters 30-32, 7) Memory and pointers (Chapters 24-26) Quiz 6, Assignment 7 and HW 6 - Finding protein domains Variable protein domains
Week 8 Oct 13 No class Monday Sorting (Chapter 23) Quiz 7, Assignment 8 and HW 7 - Finishing protein domains
Week 9 Oct 20 Sorting Switch-Case statements and structs (Chapters 17, 27) Quiz 8, Assignment 9 - Sorting competition HW 8 - Sorting parallel arrays Sorting worksheet
Week 10 Oct 27 File I/O (Chapter 28) File I/O and catchup Quiz 9, Assignment 10 - DNA k-mers Exam review Find the Errors: FastQ average length
Week 11 Nov 3 Exam 2 Review Assignment 11 and HW 9 - Predator Prey
Week 12 Nov 10 Linked lists Hash maps Quiz 10, Assignment 12 and HW 10 - Extended Predator Prey
Week 13 Nov 17 Queues and stacks Building trees by insertion Quiz 11, Assignment 13 and HW 11 - DNA k-mers with hash maps Deduplicating FastQ files
Week 14 Nov 24 Online catchup and practice No class Wednesday or Friday
Week 15 Dec 1 Traversing trees - Iterative vs recursive Deleting from and balancing trees Quiz 12, Assignment 14 - Stack/Queue/Tree practice Exam review Find the errors
Week 16 Dec 8 Catchup and review No class Wednesday/Friday

Grading

14 workshops2.5 pts each = 35 pts total57% programming
11 required homework assignments2 pts each = 22 pts
12 Quizzes1 pt each = 12 pts38% testing
2 exams8 pts each = 16 pts
Final Exam10 pts
Participation5 pts5% participation
Total100 pts

Grade scale

A[95-100] B+[86.7-90) C+[76.7-80)
B[83.4-86.7) C[73.4-76.7) D[60-70) F<60
A-[90-95) B-[80-83.4) C-[70-73.4)

Bonus points

Extra Assignments: Bonus assignments may be offered periodically throughout the semester. These are opportunities to practice what you have learned at a higher level. It is in your best interest to complete as many as possible...it will make the later semester easier. 😁

In class worksheets: Periodically there will be worksheets given in class as group exercises. For each of these worksheets that you complete during the regular semester, you will earn 0.5 pts toward your final grade. Only one member of the group needs to submit each worksheet...just be sure that all group members "sign" the submission.

Other: Bonus points may be offered as part of regular assignments/quizzes/exams. It is recommended that you complete the base assignment/assessment first, as these points are worth much less than the base activity. However, as with Extra Assignments above, it is in your best interest to complete as many as possible. The more you code, the better you will get at it.


Workshops

There are a total of fourteen weekly assignments in the workshop periods. Assignments will be started in the two hour workshop, then can be completed outside of class if necessary. Final workshops are due in the appropriate myCourses Dropbox before the next workshop session.

Workshops may not be submitted for credit more than one week late. Workshops get increasingly more challenging as the course progresses and build on the lecture discussion. Therefore, be certain to complete workshops on time. Late workshops will be penalized 0.25 pts.

You are free to discuss workshops with other students. In fact, it is strongly encouraged! However, do not share your code with other students! (See cheating/plagiarism policy below) Any discussions, especially in the myCourses Discussion groups, must not include code. Pseudocode may be shared.


Homework

Homework assignments will generally expand upon the workshop assignments. Most will involve programming assignments. Homework is due before the workshop of the following week in the appropriate myCourses Dropbox. So the homework for Week 1 is due before workshop in Week 2. As with workshops, homework may not be submitted for credit more than one week late, and with a penalty of 0.2 points.


Quizzes and Exams

Quizzes will take place at the start of workshops, except for weeks with an exam.

If a makeup is approved, only one quiz/exam makeup will be given, at a day and time to be determined by the instructor. So all students needing a makeup will take the makeup on the same date, time, and location. Let the instructor know as far in advance as possible if you need to take a makeup.

No electronics devices, caps, or hoods allowed during quizzes or exams.


Participation

Credit for participating will be based upon attending and being engaged for the full period of each session.


Communication policy

Note that the class may receive official communication in person in class, by email, or in the myCourses Discussion group(s). Any and all are considered official communication methods.


Plagiarism/cheating policy

For the first offense, anyone caught plagiarizing or otherwise cheating will receive a 0 (zero) on the assignment/exam, and be referred to the Head of the School of Life Sciences. In the event of a second offense, the student will receive an "F" for the course. If you have any questions about whether or not something constitutes plagiarism and/or cheating, please ask the instructor in advance. Duplicate submissions will also receive a grade of 0 (zero) for the first incident. In the case of especially egregious offenses, the instructor reserves the right to assign a grade of "F" for the course, as per RIT policy.

Note that your code must be written by yourself. You are encouraged to work with each other in person and through discussion groups, but must in the end write all code on your own. Sufficient evidence of cheating on a workshop or homework will be treated the same as for plagiarism or cheating in any other part of the course. The assignments will be automatically checked for cheating.

Also be aware that for this course the use of AI will be cheating. Note that AI is faulty, and can give incorrect answers. So using AI doubles your risk. It reduces your practice of the course material, which will set you behind for later assignments and other courses.


Copyright notice

The legal use of distributed material is strictly limited to course activities, and not activity outside the course. The use of copyright protected material outside of this RIT course may be prohibited by law.


Recording policy

Unless written permission is granted by the faculty member, or a specific accommodation has been approved by the Disability Services Office, students are prohibited from recording lectures or presentations.


Links


Contents last updated 4/17/25