 MSE 310/ECE 340 – Electrical Properties of Materials 
Prof. Bill Knowlton, Boise State University
Blackboard Access or ITC Course Syllabus & Objectives *
Electronic Course Evaluation: Old & New
Academic Calendar (e.g., Last day to add/drop, other deadlines)
Final Schedule (e.g., Final exam schedule, Last day to add/drop, other deadlines)
Text Book: Principles of Electronic Materials and Devices, S.O. Kasap, 3rd Edition (McGrawHill, 2005) 0073104647 Website: http://www.kasap.usask.ca/
Course Time/Days/Place: 10:30 – 11:45 am; TTh; ENGR 313
Office Hours for Fall 2014: Tues: 11:45am – 12:45 pm; Wed: 2:30 – 3:30pm; (my office – ERB 3125); or by appointment, send email (please do not call during office hours)
Discussion Section: Monday: 1:30 – 2:30pm (MEC 202J); Wed: 7:30 – 8:30am (MEC 103)
Final Exam: Date: Thursday, December 18; Time: 9:30 – 11:30 am; Room: ENGR 313
Webbased Textbooks Related to the Course:
 Principles of Semiconductor Devices (Prof. Bart Van Zeghbroeck, U. ColoradoBoulder)
Mathematica Help: “Handson Start to Mathematica” is an online training screen casts & videos: http://www.wolfram.com/broadcast/ ; Learning Center: http://www.wolfram.com/support/learn/;
Mathematica Workshops: A second series of workshops will be offered on Wednesday and Friday of this week and next (8/29, 8/31, 9/5, 9/7) from 68 PM in MEC 103.
Problem Sets and Solutions:
1st Assignment: Due by Thursday 1st week of classes I. Send me an email to bknowlton@boisestate.edu using your preferred email address stating: 1) whether or not you would be willing to share your email address with other class members so that: a) I can send out class wide emails for problem set clarifications & other course information; and b) you and your classmates can email each other for questions or clarifications on lectures, class notes, problem sets or course subject matter. 2) Let me know if want pdf versions of Mathematica Ch. 0 & 1. (Due Thurs 1st week of classes) II: Below, under the headings “Course Review Notes” & “Course Lecture Notes”, print out all the notes, place in a binder, and bring to class Thursday (& each class there after). (Due Thurs 1st week of classes) III: Problem Set 0 (Due Thurs 1st week of classes)* Note: Part I and II are worth 2 pts toward Problem Set 0 if they are done by the due date. 

Problem Set 0 (Due Thurs 1st week of classes)* Mathematica Plotting Example*; Band Diagram Program; Zipped AlTa2O5Al.bds file or the File is in my folder on the Wdrive. Tutorial – Band Diagram Program  Problem Set 0 Solutions* 
Problem Set 1 (Due: Thurs 9/4)*Watch Review Lectures 19 of the “Course Videos” which you can find below (Due: Tues 9/2) – there will be a quiz on this material on Tues 9/2.  Problem Set 1 Solutions* 
Problem Set 2 (Due: Thurs)*Note: Data Analysis, Fitting Data and Error Analysis of Data Fitting – [1] H. Motulsky & A. Christopoulos, “Fitting Models to Biological Data using Linear and Nonlinear Regression A practical Guide to Curve Fitting, Version 4 (GraphPad Prism; 2003) p. 1351.[2] Interpreting Regression Results – from OriginLabs 
Problem Set 2 Solutions* 
Problem Set 3 (Due: Thurs)* Blackbody data (zip file);Note: Two Extra credit Mathematica modules can help you with the ABET problem. 1: Extra Credit 6:
which shows how to fit; 2. Extra Credit 4:
which shows how to add legends, etc. Note: Data Analysis, Fitting Data and Error Analysis of Data Fitting – 
Problem Set 3 Solutions* 
Problem Set 4 (Due: Thurs )*  Problem Set 4 Solutions* 
Problem Set 5 (Due: Thurs )*  Problem Set 5 Solutions* 
Problem Set 6 (Due: Thurs )*  Problem Set 6 Solutions* 
Problem Set 7 (Due: Thurs)*  Problem Set 7 Solutions* 
Problem Set 8 (Due: Thurs)*  Problem Set 8 Solutions* 
Problem Set 9 (Due: Thurs )*  Problem Set 9 Solutions* 
Problem Set 10 (Due Thurs )*  Problem Set 10 Solutions* 
Problem Set 11 (Due Thurs)*  Problem Set 11 Solutions* PS 11 Common Errors: PrePS11 & PostPS11 
Problem Set 12 (Due Thurs)*  Problem Set 12 Solutions* PS 12 Common Errors 
Problem Set 13 (Due Thurs)*  Problem Set 13 Solutions* PS 13 Common Errors 
*: need Adobe Acrobat Reader to open
Extra Credit Assignments & Mathematica Modules: (note: You can turn the assignments in early)
https://user.wolfram.com/portal/requestAK/b24a0717088a998542846ccaf12e41ddbfe4348f.
Note: These Mathematica Extra Credit Assignments are only for those students not familiar with Mathematica. If you know how to use Mathematica, refer to the Syllabus for Extra Credit.
Extra Credit 1(Due: same as PS 1) – Tutorial (see below extra credits) and Review (stop by my office for handout) Extra Credit for Advanced Mathematica Users (e.g., if you’ve used Mathematica in another class or have done the EC’s below in another class) (Due: same time as Prob. Sets)
Extra Credit 2 (Due: same as PS 2) – Mathematica as a Word Processor
Extra Credit 3 (Due: same as PS 3) – Lists, Rules, NSolve & Wordprocessing (Rules & Sys of Eqns Example)
Extra Credit 4 (Due: same as PS 4) – Plotting Multiple Variables & Suppressing Plots – Table, Range, Evaluate
 Combining Plots & ListPlots on One Plot with Legends, Text and Arrows (updated 3/10/14)
 Vertical and Horizontal Lines (updated 11/24/13)
 Two xaxes or Two yaxes (updated 11/21/14)
 See video on PlotMarkers (i.e., symbols for data)
Extra Credit 5 (Due: same as PS 5) – Operators & Complex Conjugates (Example: pdf file)
Extra Credit 6 (Due: same as PS 6) – Fitting data and extracting values
 Fitting Imported Data (Data 1, Data 2, Data 3); (Fitting Data Example – updated 4/22/07)
 Linear & NonLinear Fitting Data & R^{2} – (updated 9/06/10);
 NonLinear Fitting: Initial Values for Fit Parameters & Fitting Only Part of a Data Set – (updated 11/19/14)
 Manipulate[ ] to Fit Imported Data (updated 9/09/11);
 Extracting Max Peak Value – for a data set that includes a peak, this program will extract the maximum yvalue of the peak (11/16/11)
 Information on Fitting Data: Data Analysis, Fitting Data and Error Analysis of Data Fitting
[1] H. Motulsky & A. Christopoulos, “Fitting Models to Biological Data using Linear and Nonlinear Regression A practical Guide to Curve Fitting, Version 4 (GraphPad Prism; 2003) p. 1351.; [2] Interpreting Regression Results – from OriginLabs
Problem with Importing, so do the EC below:
EC6bUsing the “Fitting Data Example” or “Linear & NonLinear Fitting Data & R^{2″}, create your own data sets (two data sets) and provide a description of how to fit the data sets and use their resulting fitting equation in an example. You can use your previous homeworks where you needed to fit data as examples. If you do so, please change the example a bit.
Extra Credit 7 (Due: same as PS 7) – Matrix & Linear Algebra
Extra Credit 8 (Due: same as PS 8) – Solving Differential Equations Using DSolve & NDSolve
Extra Credit 9 (Due: same as PS 9) – Arrows, Text and Legends (use of Epilog[ ]) Another version (see EC 4)
Extra Credit 10 (Due: same as PS 10) – Solving Linear equations and plotting the answers
Extra Credit 11 (Due: same as PS 11) – Special Functions
Extra Credit for Advanced Mathematica Users (if you’ve done the EC’s above) (Due: same time as Prob. Sets)
Math Program Links & Examples
Tutorials:
 “Handson Start to Mathematica” is an online 8part series of free training tutorials/videos that introduce key features of Mathematica”: Part 1 (Notebooks); Part 2 (Methods to get Started), Part 3 (Basic Calculations); Part 4 (Basic Graphics); Part 5 (Making Interactive Models), Part 6 (Utilizing Data); Part 7 (Presentations); Part 8 (Complete Example);
 In A Student’s Introduction to Mathematica screencast, you’ll get an introduction to Mathematicaand learn how it can help you tackle any type of problem—numeric or symbolic, theoretical or experimental, largescale or small.
Useful Mathematica Help Tools:
 Mathematica’s “How To’s” describes how to perform particular tasks using Mathematica, providing stepbystep instructions for typical cases.
 Wolfram Community  a forum to ask questions and receive feedback for using Mathematica.
Bill’s Mathematica Help Page for Beginners (provides links similar to below)
Compares Mathematica, Maple, Matlab: Brief Description; Compare Commands; Syntax Differences
Mathematica: Information Center; Math Groups & Forums; Student Forum
Quizzes & Midterms: (Note: If you want a Quiz Learning Objective posted, please let me know by Fri before 5pm)
Quiz 1 Learning Objectives  Midterm Practice Exam 
Quiz 2 Learning Objectives  
Quiz 3 Learning Objectives  
Quiz 4 Learning Objectives  
Quiz 5 Learning Objectives  
Quiz 6 learning Objectives  
Quiz 7 Learning Objectives  Final Exam: Thursday, December 18; Time: 9:30 – 11:30 am; Room: ENGR 313 
Quiz 9 Learning Objectives  
Quiz 10 Learning Objectives  
Quiz 11 Learning Objectives  
Quiz 12 Learning Objectives  Test your knowledge (no name quiz) 
Lab:
Optoelectronics: pdf version & MSWord version 
(Due: First Monday in December by 5pm)
Worth 100 points; Treat as two problem sets for grading purposes
Grade sheet
Information on Writing Journal Articles:
– Presentation: Anatomy of a Journal Article
– Guidelines: Template of a Journal Article
– Presentation: Anatomy of a Paragraph
– IEEE Transactions Style sheet in Word Files
– Writing Guidelines for Engineering and Science Students
LED Articles (for educational purposes only): one , two , three & four
All articles provide LED information. The 1st two are some of the 1st reports of blue LEDs. The second two provide nice examples – both the organization and syntax – in which to write the lab report.
Note: The following ABET Program Outcome will be assessed for your report, so please make sure you are demonstrating the outcomes in your report:
j. A knowledge of contemporary issues.
Optoelectronics–Photonics Lab Schedule (ET 104 – Prof. Wan Kuang’s Photonics Lab) – Note: need to knock on door to be allowed in since it is a laser lab.
Total Students:
Labs will consist of ~3 Groups of ~34 Students per Group
1. Monday, November 11; 910:30am  2. Tuesday, November 12; 45:30pm  3. Friday, November 15; 45:30pm 
1. Dorian Bosely  1. Megan Beck  1. Tasha Buss 
2. Koyuki Fritchman  2. Ann Delaney  2. Medhat Khalil 
3. Drew Lysne  3. Nicole Lerass  3. Josh Owens 
4.  4.  4. Carolyn Stansell 
5.  5.  5. 
6.  6.  6. 
4. Thursday, November  5. Friday, November  6. Friday, November 
1.  1.  1. 
2.  2.  2. 
3.  3.  3. 
4.  4.  4. 
5.  5.  
6.  6. 
Other:
Formula Sheet* (updated 10/21/14) 
Bill’s Mathematica Help Page for Beginners
Course Videos:
 Review Lecture 1 (updated) – Thermodynamics versus Kinetics – A Comparison (Companion to Review Notes below)
 Review Lecture 2 – 1st & 2nd Law of Thermodynamics (Companion to Thermodynamics Review Notes below)
 Review Lecture 3 – FEOT & FEOT’s Differential Forms (Companion to Thermodynamics Review Notes below)
 Review Lecture 4 – Coefficient Relationships in Thermodynamics (Companion to Thermodynamics Review Notes below)
 Review Lecture 5 – Maxwell Relationships in Thermodynamics (Companion to Thermodynamics Review Notes below)
 Review Lecture 6 – Diffusion – Part 1 (Companion to Diffusion Review Notes)
 Review Lecture 7 – Diffusion – Part 2a – Plots of Fick’s 2nd Law (Companion to Diffusion Review Notes)
 Review Lecture 8 – Diffusion – Part 2b – Solns to Fick’s 2nd Law (Companion to Diffusion Review Notes)
 Review Lecture 9 – Thermally Activated Processes (Companion to Thermally Activated Processes – Kinetics Notes)
 Tutorial – Band Diagram Program
 Makeup Lecture
Course Review Notes:
Outline of Review Notes*
Atomic Structure Notes*
Bonding Notes*
Crystallography Review Notes*
Thermodynamics Notes*
Diffusion Notes*
Thermally Activated Processes – Kinetics Notes*
Point Defect Lecture Notes*
Line Defect Lecture Notes*
Planar & Bulk Defect Lecture Notes*
Course Lecture Notes:
Dynamical Variables in QM*
Integrals Common to QM: (1) Bill’s Examples; (2) From McKelveySolid State Physics**
Band Theory: KronigPenney, Ek and Others*
Shockley’s View of Band Theory and Fee Electrons & Holes*
LCAO Notes*
Intrinsic Semiconductors: Density of States, Fermi Distribution & n & p*
Phonons*
Workfunctions of some Metals*
Effective Mass Theory*
Dopant Energy Levels (Ge, Si, & GaAs)*
Extrinsic Semiconductors Notes – Part I – Free Carrier Statistics*
Extrinsic Semiconductors Notes (from your book) – Part 2 – Phonon & Impurity Scattering*
Course Device Notes:
Part 1: MetalMetal & MetalS/C Contacts/Junctions*
Part 2: pn & pnp or npn Junctions*
Part 3: IIIV & IIVI Heterostructure Junctions*
Part 3(cont.): IIIV & IIVI Heterostructure Junctions*
Part 4: MOS Heterostructure Junctions*
Part 5: Quantum Effects in MOS Devices*
Part 6: High Dielectric Constant (k) Materials for MOS Devices*
Part 7: Molecular Electronics At the Nanoscale*
Boise State Energy Band Diagram Simulation Tool for Multilayer MOS and MIM Devices
Notes:
MRS Bulletin Paper on Diffusion – H. Bracht*
Formation & Migration Energies of Vacancies (Paper 1)*
Formation & Migration Energies of Vacancies (Paper 2)*
Elementary QM*
Dynamical Variables in QM*
Integrals Common to QM: (1) Bill’s Examples; (2) From McKelveySolid State Physics**
Heterojunctions – Three 2001 Nobel Prize Papers & 1 1967:
1st paper – Alferov – Double Heterostructures*
2nd paper – Kroemer – Band Offsets in Heterostructures*
3rd paper – Nevill Mott – Amorphous S/Cs & Nonconductors* 1977
4th paper – Heeger – S/C Polymers*
Days I will be Traveling: (we will make up these days)
 Makeup Lectures:
Links:
Band Diagram Program (Paper for teaching purposes only) Visual Quantum Mechanics by Bernd Thaller Visual Quantum Mechanics at Kansas State University Semiconductor Statistics Applets Device Simulation Programs – Nanohub HyperPhysics Website at Georgia State University More Applets: Materials & Devices Group Velocity Crystallography Interactive Website; “The Dance of the Solids” by John Updike; 13 New Landolt Bornstein Volumes in 2013; Springer Data Base (Albertson’s Library); Semiconductor Properties – Ioffe PhysicoTechnical Institute; LED.orgFred Schubert; XRD Diffraction Peak Types & Shapes; 
*: need Acrobat Reader to read the file