Server

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  Instructor

  Paul Zhong-Ru Xie

  Courses:

  INFO 8750 Advanced Programming for Data Mining: SP23, SP24
  INFO 6750/CSEE 4750/ENGR 6990 Programming for Computational and Systems Biology: FA17, SP19, SP20, SP21, SP22
  ENGR 8990 Applications of Numerical Analysis with Computers: SP22, SP23
  ENGR 8260 Computer-Aided Drug Design and Engineering: SP18, FA18
  ELEE 2040 Programming for Engineers: FA18, FA19, FA20, FA21, FA22, FA23

• INFO 6750 (ENGR 4970/CSEE 4750) Programming for Computational and Systems Biology
  

  Topics:

   Knowing Big Data in medical & biological sciences
   Learning basic programming skills
   Writing automatic scripts to collect and process online data
   Applying programming in biology
   Building a simulation model
   Producing prediction outcomes
  

  

  
  Course Philosophy:

  Programming is a useful skill in a variety of industries and academic disciplines. Learning it and learning how to apply it in biomedical domains is critical to engineering students. In this course, students will be taught basic coding and biological knowledge and use programming skills they learned to analyze and understand biological data. These are essential and practical skills/experiences for students who are interested in finding jobs in pharmaceutical or data mining industry and/or performing research in computational and systems biology in the future.

  3 credit hours

  Fall 2017
  Spring 2019
  Spring 2020
  Spring 2021
  Spring 2022
  Spring 2023
  Spring 2024

• ENGR 8990 Applications of Numerical Analysis with Computers
  

  Topics:

   Linear and non-linear systems
   Interpolation
   Curve fitting
   Ordinary & partial differential equations
   Numerical integration
   Eigenvalues and eigenvectors
   Advanced applications of programming
   Programming in numerical analysis
  

  
  
  
  
  
  
  
  
  
  
  
  

  
  Course Philosophy:

  Programming is a useful skill in a variety of industries and academic disciplines. Numerical analysis finds application in the life and social sciences, medicine, business and even the arts. You will learn the basic concepts and applications of numerical analysis as well as both of the classical and state-of-the-art algorithms applied in numerical analysis.

  3 credit hours

  Spring 2022
  Spring 2023
  

• ENGR 8260 Computer-Aided Drug Design and Engineering
  

  Topics:

   Protein 3D structure and function
   Sequence alignment
   Protein structure prediction & structural comparison
   Molecular dynamics simulation
   Kinetic models
   Docking and virtual screening
   Drug repurposing
  

  

  Course Philosophy:

  The cost of bringing a new drug to the market has been dramatically increasing; therefore, computer-aided drug design has become one of the top interests of industry and academy. This courses will primarily focus on instructions in principles, algorithms and applications of the up-to-date bioinformatics tools and servers. The ultimate goal of this course is to learn what databases, tools and servers we have and how to apply them to process biological data and address biological problems. It is an important goal of this course to understand and analyze the strengths and weaknesses of different algorithms. By completing the final project with other group members, students with biological, informatics or other backgrounds will learn how to collaborate and communicate with others and coordinate the studies with group members who have different expertise.

  3 credit hours

  Spring 2018
  Fall 2018