Computational Genomics Curriculum

Fall Semester

In the fall semester, students will take BIOE 582.  The focus will be on the fundamental concepts and algorithms for gene finding, genome annotation, sequence alignment, phylogenetic reconstruction, gene expression and network analysis, Genome-Wide Association Studies (GWAS), etc.

Students will also take BIOE 573, which is taught by faculty in the College of Business at Illinois.  The class introduces students to the application of operational management tool and techniques to ensure that the right products and resources are at the right place at the right time so as to maximize profit for a business process or supply chain. The “products” could be either goods, services, or, more commonly nowadays, combinations of both; and the “resources” could be materials, people, money, information, or any combinations of the four.

  • BIOE 570 – Speaker series (1 credit hour) – Various speakers from industry share their real world experiences and knowledge.
  • BIOE 582 – High-throughout Genomics Data Analysis (4 credit hours) – Provide students with the practical knowledge of statistical analysis and computational modeling techniques relevant for applications in genomics and systems biology.
  • BIOE 573 — Biomedical Systems Engineering (4 credit hours) – Covers fundamental business concepts, including project management, process management, supply chain management and product development.

Spring Semester

In the Spring semester, students will take BIOE 583.  The focus will be on achieving proficiency in data management and processing based on popular file formats in genomic biology. Students will learn to use popular software tools and pipelines for analyzing next-generation sequencing data and apply them to real world problems. They will acquire the necessary skills to evaluate new emerging software, and to build workflows for specific projects.

Students will also take BIOE 574, also taught by faculty in the College of Business at Illinois, which covers further business-related topics such as intellectual property, the innovation process, systems engineering, and finance.

The semester is rounded off by the team project course, BIOE 575.  In this class, students will take the technical, business and analytical skills they have learned, and apply them to solving a real-world problem posed to them by one of the program’s partner institutions.

  • BIOE 570 — Speaker series (1 credit hour) – Various speakers from industry share their real world experiences and knowledge.
  • BIOE 583 – Algorithms, Statistics and Modeling (4 credit hours) – Provide students with important practical skills for handling genomic big data and analyzing the results of various types of high-throughput sequencing experiments.
  • BIOE 574 — Finance and Innovation (4 credit hours) – Covers fundamental business concepts, including finance and innovation.
  • BIOE 575 — Team Project (6 credit hours) – Applied consulting project