PHZ4710 – Introduction to Biological Physics, Spring 2023

Spring 2023, course number PHZ4710-3812(16128)

Classes:

Time: Tuesday & Thursday, 11:45 AM – 1:15 PM (Period 5 – 6.5)
Classroom: NPB 1200

Instructor:

Prof. BingKan Xue

  • Email: b.xue@ufl.edu (communication about this course should be sent via Canvas)
  • Phone: 2-6973
  • Office: NPB 2328
  • Office Hours: Tuesday & Thursday, 4:05 – 4:55 PM (online); in-person office hours to be announced.

Objectives:

This course is for advanced undergraduate students looking for basic training in biological physics. The field of biological physics has evolved to encompass diverse topics ranging from molecular to ecological scales. These topics are studied using quantitative methods that have become standard in the field, yet are not part of the traditional curriculum. This course provides an overview of such methods and their applications in biological physics. We will learn to use these methods by doing exercises that involve computation and programming.

Prerequisites:

One year of introductory physics (PHY 2053/2054, PHY 2048/2049, or the equivalent) and one year of calculus (MAC 2311/2312 or the equivalent). Some experience in programming would be helpful (Python, MatLab, etc.); a quick tutorial will be given at the beginning of the course.
Update: An online Python tutorial can be found at https://cmp.phys.ufl.edu/

Textbooks:

We will not follow a particular textbook. For each part of the course, some references may be provided. The lecture slides will be made available before class.
Update: We have launched a new online textbook at https://cmp.phys.ufl.edu/PHZ4710/ (under ongoing development)

Schedule:

The topics covered in this course include: (the following weekly schedule is subject to adjustments)

Week 1-2
  • Introduction and Python tutorial
Homework 0
Week 2-3
  • Diffusion vs Navigation: from Brownian motion to bacterial chemotaxis
Homework 1
Week 4-5
  • Probability and Statistics: visual sensitivity and bacterial resistance
Homework 2
Week 5-6
  • Stochastic Processes: population growth and gene expression
Homework 3
Week 7-8
  • Reaction Kinetics: protein folding and kinetic proofreading
Homework 4
Week 8-9
  • Dynamical Systems: genetic circuits and ecological systems
Homework 5
Week 10 Spring break
Week 11-12
  • Neural Networks: associative memory, perceptron and machine learning
Homework 6
Week 12-13
  • Data Analyses: classification, clustering and dimensionality reduction
Homework 7
Week 14-15
  • Information and Strategy: entropy, environmental variation and evolution
Homework 8

The class will meet twice a week, about 1.5h each time. In each class there will be a lecture (~50min) followed by a practice session (~30min), with a short break in between. The practice session is designed to help students with computation and programming related to homework assignments. During that session, the instructor will demonstrate how to implement the methods described in the lecture, and the students can work in groups and ask questions.

Assignments:

Homework will be assigned every few classes according to the topics. Each homework will be to apply the method you learned in class to an example problem, and will typically involve some modeling, numerical computation, simulation, or data analysis. You may work in groups during the practice session or consult each other after class (you should credit your collaborators in the submitted homework), but you must write your own answers that are not simple copies of others’ work. Homework will be submitted online on Canvas.

The final exam will be in the form of a take-home exam that is more substantial than a homework. It may involve searching and reading the literature, solving a problem using the methods you learned, drawing conclusions and discussing your results. You should work on it by yourself and submit a written report summarizing your work (~4 pages), including introduction to the problem and discussion of the results.

Grading:

The final grade will consist of both the homework assignments (70%) and the final exam (30%):

  • There will be 8 homework assignments, 10 points each. The lowest score will be dropped. Late submission will not be graded.
  • The final exam is due on TBD. It will be evaluated by its scientific content as well as clarity and grammar.

The projected conversion from total score to letter grade is:

A >= 90
90 > A- >= 85
85 > B+ >= 80
80 > B >= 75
75 > B- >= 70
70 > C+ >= 65
65 > C >= 60
60 > C- >= 55
55 > D+ >= 50
50 > D >= 45
45 > D- >= 40
40 > F

Attendance at all class meetings is expected. A student who seeks a makeup for missed work should contact the instructor as soon as practical and be prepared to document any excuse. See detailed policies below.

Writing Requirement:

This course counts toward the Writing Requirement (2000 words). The Writing Requirement (WR) ensures students both maintain their fluency in writing and use writing as a tool to facilitate learning. Course grades have two components. To receive writing requirement credit, a student must receive a grade of C or higher and a satisfactory completion of the writing component of the course. See detailed policies below.


COVID-19 policy:

In response to COVID-19, the following recommendations are in place to maintain your learning environment, to enhance the safety of our in-classroom interactions, and to further the health and safety of ourselves, our neighbors, and our loved ones.

  • If you are not vaccinated, get vaccinated. Vaccines are readily available and have been demonstrated to be safe and effective against the COVID-19 virus. Visit one.uf for screening / testing and vaccination opportunities.
  • If you are sick, stay home. Please call your primary care provider if you are ill and need immediate care or the UF Student Health Care Center at 352-392-1161 to be evaluated.
  • As with any excused absence, you will be given a reasonable amount of time to make up missed work.

Diversity and Inclusion:

We recognize the value in diversity, equity and inclusion in all aspects of this course. This includes, but is not limited to differences in race, ethnicity, gender identity, gender expression, sexual orientation, age, socioeconomic status, religion and disability. Students have opportunities to work together in this course. We expect respectful student collaborations such as attentive listening and responding to the contributions of all teammates. Our aim is to foster an atmosphere of learning that is based on inclusion, transparency and respect for all participants.

Evaluation:

Students are expected to provide professional and respectful feedback on the quality of instruction in this course by completing course evaluations online via GatorEvals. Guidance on how to give feedback in a professional and respectful manner is available at:
https://gatorevals.aa.ufl.edu/students/
Students will be notified when the evaluation period opens, and can complete evaluations through the email they receive from GatorEvals, in their Canvas course menu under GatorEvals, or via ufl.bluera.com/ufl/. Summaries of course evaluation results are available to students at:
https://gatorevals.aa.ufl.edu/public-results/

Policies:

Requirements for class attendance and make-up exams, assignments, and other work in this course are consistent with university policies that can be found at:
https://catalog.ufl.edu/UGRD/academic-regulations/attendance-policies/

The writing requirement will be assessed with respect to grammar, punctuation, clarity, coherence, and organization (Sample Writing Asessment Rubric). The instructor will evaluate and provide feedback on all of the student’s written assignments by the end of the course.
https://catalog.ufl.edu/UGRD/student-responsibilities/writing-requirement/

Recommended writing style manual is: The Elements of Style, by William Strunk Jr.
Writing support can be found at the university’s Writing Studio:
https://writing.ufl.edu/writing-studio/

Students with disabilities who experience learning barriers and would like to request academic accommodations should connect with the disability Resource Center by visiting:
https://disability.ufl.edu/students/get-started/
It is important for students to share their accommodation letter with their instructor and discuss their access needs, as early as possible in the semester.

Information on current UF grading policies for assigning grade points may be found at:
https://catalog.ufl.edu/UGRD/academic-regulations/grades-grading-policies/

All students must maintain academic honesty and professional behavior according to the Student Honor Code and Student Conduct Code:
https://sccr.dso.ufl.edu/policies/student-honor-code-student-conduct-code/