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Manufacturing track

Advanced manufacturing

Filling manufacturing jobs of the future requires engineers with an interdisciplinary education, with cross-cutting skills that span industrial engineering, materials science, data science, computational design, automation and robotics, programming skills, and cybersecurity. The manufacturing track offers students the ability to acquire the interdisciplinary skill-set required to fill future manufacturing engineering jobs.

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To satisfy the track requirements, a student must take four manufacturing courses:

  1. Select one core course, which will provide the student with a foundational understanding of manufacturing terminology, concepts, and processes.
  2. Select three additional courses from the list of manufacturing courses. These three courses could be within one course group (processes, materials, or automation) to provide the student with in-depth knowledge of a specific topic within manufacturing, or across different course groups to provide the student with a broad understanding of multiple manufacturing topics. Example scenarios are provided below.
  3. At least one course must be outside the student’s home department. This exposes the student to the interdisciplinary nature of manufacturing.
  4. ISE students cannot double-count core ISE courses (3414, 4204, and 4404).

Core courses

  • ISE-3204 Manufacturing processes
  • ME-4634 Intro to CAD and manufacturing

Group 1: Processes (Manufacturing processes and operational excellence)

  • CHE-4224 Intro to polymer processing
  • ISE-4204 Production planning and inventory control (prereqs)(cannot be double-counted)
  • ISE-4214 Lean manufacturing
  • ISE-4404 Statistical quality control (prereqs)(cannot be double-counted)
  • ISE-4984 Metal additive manufacturing processes
  • ME-4644 Rapid prototyping (Full)
  • MSE-4044 Powder processing
  • MSE-4305 Metal casting

Group 2: Materials (Materials manufacturing)

  • CHE-4214 Intro to polymer materials
  • MSE-3304 Physical metallurgy
  • MSE-4055 Materials selection and design
  • MSE-4414 Physical ceramics
  • MSE-4334 Applied materials analysis
  • AOE-4614 Aero materials and modeling techniques

Group 3: Automation (Data science, Design, and Automation)

  • AOE-4404 Applied numerical methods
  • ISE-3414 Operations research (cannot be double-counted)
  • ISE-4264 Industrial automation
  • ME-4524 Robotics and automation (full)
  • ME-4654 Optimization techniques in engineering
  • ME-4684 Industrial internet of things
  • ME-4824 Intro to human-robot interaction (delayed)
  • MSE-4644 Materials design experiments

Examples:

  • Scenario 1: A student is interested in obtaining a broad understanding of future manufacturing skill sets.
    • Core course: ISE-3204 Manufacturing processes
    • Course 1: ISE-4404 Statistical quality control
    • Course 2: MSE-4055 Materials selection and design
    • Course 3: ISE-4264 Industrial automation or ME-4524 Robotics and automation
    • Additional course: ME-4654 Optimization techniques in engineering
  • Scenario 2: A student is interested in obtaining an in-depth understanding of manufacturing processes.
    • Core course: ISE-3204 Manufacturing processes
    • Course 1: ME-4644 Rapid prototyping
    • Course 2: CHE-4224 Intro to polymer processing
    • Course 3: ISE-4404 Statistical quality control
  • Scenario 3: A student is interested in obtaining an in-depth understanding of data-driven decision-making and digital manufacturing.
    • Core course: ME-4634 Intro to CAD and manufacturing
    • Course 1: ISE-3414 Operations research
    • Course 2: ISE-4264 Industrial automation
    • Course 3: ME-4684 Industrial internet of things
    • Additional course: ME-4824 Intro to human-robot interaction
  • Scenario 4: A student is interested in obtaining an in-depth understanding of materials manufacturing.
    • Core course: ME-4634 Intro to CAD and manufacturing
    • Course 1: CHE-4214 Intro to polymer materials
    • Course 2: MSE-4055 Materials selection and design
    • Course 3: MSE-4334 Applied materials analysis

To satisfy the track requirements, a student must take six manufacturing courses:

  1. Select at least two core courses, which will provide the student with a foundational understanding of advanced manufacturing skills-sets.
  2. Select four additional courses from the list of manufacturing courses. These four courses could be within one course group (processes, materials, or automation) to provide the student with in-depth knowledge of a specific topic within manufacturing, or across different course groups to provide the student with a broad understanding of multiple manufacturing topics. Example scenarios are provided below.
  3. At least one course must be outside the student’s home department. This exposes the student to the interdisciplinary nature of manufacturing.

Core courses

  • ISE-5204 - Manufacturing Systems Engineering
  • MSE-5034 - Structure and Properties of Materials
  • ME-5794 - Optimization Techniques in Engineering
  • ME-5644 - Rapid Prototyping

Group 1: Processes (Manufacturing processes and operational excellence)

  • ISE-5984 - Metal Additive Manufacturing Processes
  • MSE-5044 - Powder Processing
  • MSE-5154 - Processing Science in Advanced Manufacturing
  • ISE-5244 - Facilities Planning and Material Handling

Group 2: Materials (Materials manufacturing)

  • AOE-5634 - Aerospace Materials and Modeling Techniques
  • CHE-5204 - Applied Rheology
  • ISE-5264 - Modeling and Analysis of Semiconductor Manufacturing
  • MSE-5174 - Advanced Physical Ceramics
  • MSE-5114 - Introduction to Materials Characterization
  • MSE-5334 - Adv Applied Materials Analysis

Group 3: Automation (Data science, Design, and Automation)

  • AOE-5404 - Numerical Methods for Aerospace and Ocean Engineering
  • AOE-6064 - Reliability-Based Design Optimization
  • CHE-5434 - Computational and Data Sciences for Process Engineering
  • CHE-5424 - Computational and Data Sciences for Materials Design
  • ISE-5334 - Statistical Learning and Data Science
  • ME-5634 - Finite Elements in Machine Design
  • ME-5664 - Global Collaborative Product Development
  • ME-5984 - Data-Driven Modeling and Materials Design
  • MSE-5124 - Materials Optimization Through Designed Experiments
  • ME-5704 - Robotics and Automation
  • ME-5784 - Adv IIOT