CEE 5735

CEE 5735

Course information provided by the Courses of Study 2021-2022.

This course builds from previously studied fundamental concepts to uncover strategies for using math to describe natural and engineered systems that impact the human experience (e.g. infrastructure systems, subsurface structures and networks, bacterial colonies, traffic networks, reservoir systems, etc.) Specifically, selected approaches for mechanistic descriptions ("clear box" models), data-driven descriptions ("black box" models), and hybrids of these ("grey box" models) will be covered: both through an introduction to foundational theory and also in computational implementation. In gaining experience in formulating their own mathematical models for real world phenomena, students will be better able to describe, study, and control the performance of natural and engineered systems in their professional lives.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CEE 3040 or equivalent, ENGRD 3200 or equivalent, and experience coding in Python.  

View Enrollment Information

  •   Regular Academic Session.  Combined with: CEE 6736

  • 3 Credits Graded

  • 18241 CEE 5735   LEC 001

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 19034 CEE 5735   LEC 030

    • TR Cornell Tech
    • Aug 26 - Dec 7, 2021
    • Staff

  • Instruction Mode: Distance Learning-Synchronous
    Taught in NYC at Cornell Tech. Streaming from Ithaca. For Cornell Tech students only.