BIOE 498

Spring 2020 Part of Term 1

Part of Term 1
Jan 21-May 6

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Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in bioengineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary to a maximum of 12 hours, but no more than 8 in any one term.

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BIOE 498 class schedule data for spring 2020
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
31792	Lecture	AL	12:30PM -1:50PM	TR	2233 Everitt Laboratory	Sirk, S	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Immunoengineering Section Info: Students will explore concepts surrounding the field of immunoengineering, with a focus on understanding engineering approaches in both basic and translational research, as applied to the immune system and its manipulation for disease intervention and management. Students will rigorously investigate design principles underlying immunologically-based therapies and diagnostics. Critical analysis of scientific findings will be facilitated through instructor-led lectures, student-led literature discussions, and in-class activities and homework. Through activities and assignments, students should gain a deeper understanding of the underlying physical, chemical, and biological components that have facilitated immunogengineering advances, with an emphasis on developing novel, innovative solutions to address limitations in existing technology. Assignments, exams, and in-class activities will focus on critical analysis and thoughtful evaluation of data and conclusions, as well as effective written and oral communication skills. Restriction(s): Restricted to BS:Bioengineering - UIUC.
68803	Lecture	LEC	2:00PM -3:20PM	TR	2233 Everitt Laboratory	Smith, A	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Tech for Cancer Diag & Therapy Section Info: Technologies for Cancer Diagnosis and Therapy provides an introduction to how cancer is diagnosed and treated, focusing on related fundamental concepts in cancer biology and bioengineering. One major goal is for students to become comfortable integrating principles from physics, chemistry, engineering, and biology related to current strategies for understanding, detecting, and treating cancer. A second major goal is for students to understand and assess innovative solutions to current limitations in the field, and to use this information to generate a research proposal in the format of an NIH R21, which will be written and reviewed throughout the course term. The materials and content are designed for first year graduate students and senior undergraduate students from diverse majors. Recommended Prerequisites: BIOE 206 and CHEM 232, or equivalent knowledge.
39551	Lecture	PJ	1:00PM -1:50PM	MWF	1306 Everitt Laboratory	Jensen, P Wyllie, R	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Exprmnt Design & Optimization Section Info: All engineers perform experiments. Whether they be “wet-lab” or simulated, experiments test the limits of our hypotheses and drive our understanding. Often engineers want to go beyond validating their theories and models. Engineers want the best designs – the optimal combination of cost, reliability, performance, and usability. This course presents a systematic framework for optimizing experiments and models. Using both experimental data and computer simulations, students will explore methods to efficiently search large design spaces.
68833	Lecture	TL	5:00PM -6:20PM	TR	3217 Everitt Laboratory	Lu, T	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Systems Biology Section Info: Systems biology is the study of systems of biological components, which may be molecules, cells, organisms or entire species. Being highly complex, their behaviors are hard to predict from the properties of individual parts. Instead, it often requires holistic, quantitative measurements mathematical modeling of the groups of the interacting components. This course offers an introduction to the fundamental concepts, quantitative characterizations, and modeling methodologies underlying systems biology. Systems of study include modules and global structures ubiquitous in gene regulation, metabolism and signal transduction. Examples include functional modules such as feed-forward loops, switches and oscillators and systems composed of these modules. Mathematical models based on differential equations are used throughout the course to describe the dynamics of biological systems. A series of functional properties emerging from biological systems including modularity, ultrasensitivity, robustness, adaptation and optimality are examined and discussed. Altogether, the course outlines basic design principles ubiquitous in biological networks. Course Prerequisite: MATH 285 or equivalent Restriction(s): Restricted to BS:Bioengineering - UIUC.