## MATSCEN 2321

Transcript Abbreviation:

Mod Sim Lab I

Course Description:

A modeling and simulation laboratory appropriate to sophomore-level study in materials science and engineering.

Course Levels:

Undergraduate (1000-5000 level)

Designation:

Required

General Education Course:

(N/A)

Cross-Listings:

(N/A)

Credit Hours (Minimum if “Range”selected):

3.00

Max Credit Hours:

(N/A)

Select if Repeatable:

Off

Maximum Repeatable Credits:

(N/A)

Total Completions Allowed:

(N/A)

Allow Multiple Enrollments in Term:

No

Course Length:

14 weeks (autumn or spring)

12 weeks (summer only)

Off Campus:

Never

Campus Location:

Columbus

Instruction Modes:

In Person (75-100% campus; 0-24% online)

Prerequisites and Co-requisites:

Prereq: 2010, Physics 1250 or 1260, Math 1151 or 1161, and Chem 1210 or 1250; and enrollment as MatScEn-BS student; or permission of instructor.

Electronically Enforced:

No

Exclusions:

(N/A)

Course Goals / Objectives:

Introduce students to visualizing data and mathematical functions, numerical and symbolic differentiation/integration, matrix operations, coupled algebraic equations, and elementary programming constructs related to materials science and engineering

Introduce students to materials databases, graphical representation of material properties, and elementary case studies in materials selection

Introduce students to modeling and simulation of crystal structures and diffraction spectra

Introduce students to modeling and simulation of simple (e.g., isomorphous binary) phase diagrams and more advanced (e.g., binary eutectic) phase diagrams

Introduce students to atomistic modeling and simulation methods to estimate energies of perfect crystals and energies of defects

Define limitations of models and simulations and methods by which to assess accuracy

Check if concurrence sought:

No

Contact Hours:

Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
---|---|---|---|---|---|

Lab A. Introduction to Visualization and Manipulation of Data and Functions: Visualization of data and functions in 2D and 3D; differentiation, integration, and extraction of data subsets; e.g., MatLab. | 4.0 | 0.0 | 0 | 2.0 | 0 |

Lab B. Introduction to Materials Selection: Databases/graphical representation of properties; materials selection (e.g., optimization of stiffness, strength, cost); case studies; software limitations; e.g., Cambridge Engineering Materials Selector. | 6.0 | 0.0 | 0 | 3.0 | 0 |

Lab C. Introduction to Crystal Visualization and Diffraction: Visualization of crystal structures and defects; computation of diffraction spectra; determining structure from diffraction spectra; software limitations; e.g., CrystalMaker, MatLab. | 6.0 | 0.0 | 0 | 3.0 | 0 |

Lab D. Introduction to Thermodynamic Modeling and Simulation: Theory/construction of isomorphous and binary phase diagrams; calculation of free energy vs. temperature, composition; software limitations; e.g., PANDAT, MatLab. | 6.0 | 0.0 | 0 | 3.0 | 0 |

Lab E. Introduction to Atomistic Modeling and Simulation: Construction of elementary crystal models, computation of internal energy of perfect crystals and defect energies; software limitations; e.g., MatLab. | 6.0 | 0.0 | 0 | 3.0 | 0 |

Total | 28 |
0 |
0 |
14 |
0 |

Grading Plan:

Letter Grade

Course Components:

Lecture

Lab

Grade Roster Component:

Lecture

Credit by Exam (EM):

No

Grades Breakdown:

Aspect | Percent |
---|---|

In-class assessment | 40% |

Homework assignments and Projects | 60% |

Representative Textbooks and Other Course Materials:

Title | Author | Year |
---|---|---|

Manual: Cambridge Engineering Selector Software | ||

Manual: CrystalMaker and CrystalDiffract Software | ||

Manual: PANDAT Software |

ABET-CAC Criterion 3 Outcomes:

(N/A)

ABET-ETAC Criterion 3 Outcomes:

(N/A)

ABET-EAC Criterion 3 Outcomes:

Significant contribution (7+ hours) | 1 | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |

Substantial contribution (3-6 hours) | 2 | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |

Substantial contribution (3-6 hours) | 3 | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |

Some contribution (1-2 hours) | 4 | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |

Substantial contribution (3-6 hours) | 5 | an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives |

Substantial contribution (3-6 hours) | 6 | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |

Some contribution (1-2 hours) | 7 | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |

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