There are only four actually built in commands, they are; CHEATEmpireSpawnFett Spawn Boba Fett CHEATEmpireSpawnVeers Spawn Colonel Veers CHEATEmpireSpawnVader Spawn Darth Vader CHEATEmpireSpawnEmperor Okay we get it, it spawns Palpatine. This page contains a list of cheats, codes, Easter eggs, tips, and other secrets for Star Wars: Empire at War for PC.If you've discovered a cheat you'd like to add to the page, or have a. If you wait awhile, you will get credits and Imperial Star Destroyers (started at tech level 4 for the Star Destroyers). Soon planets will start revolting slowly to your side. Build a Space Station and Barracks at the same time if you cannot keep ships at the planet or get them there. Empire at war remove fog of war.

Math 4377 - Advanced Linear Algebra IPrerequisites:Text(s):Linear Algebra, Fourth Edition by Stephen H. Friedberg, Arnold J.

Insel, Lawrence E. SpenceDescription:Syllabus: Chapter 1, Chapter 2, Chapter 3, Chapter 4 (4.1-4.4), Chapter 5 (5.1-5.2) (probably not covered)Course Description: The general theory of Vector Spaces and Linear Transformations will be developed in an axiomatic fashion. Determinants will be covered to study eigenvalues, eigenvectors and diagonalization.Grading: There will be three Tests and the Final. I will take the two highest test scores (60%) and the mandatory final (40%).

Tests and the Final are based on homework problems and material covered in class. MATH 5310 - History of MathematicsPrerequisites:Graduate standingText(s):No textbook is required.Description:This course is designed to provide a college-level experience in history of mathematics. MATH 5336 - Discrete MathematicsPrerequisites:Graduate standingText(s):Discrete Mathematics and Its Applications, Kenneth H. Download free canon ls 12pc ii manual software free. Rosen, seventh edition, McGraw Hill,ISBN-13 978-0-07-288008-3, ISBN-10 0-07-288008-2.Instructor lecture note: Plus: on the Zermelo-Fraenkel Axioms and Equivalence of Sets.Description:Syllabus: Chapter 1 (Logic and Proofs): 1.1, 1.3, 1.4 -1.6, Chapter 2 (Sets and Functions), Chapter 5 (Induction): 5.1-5.3, Chapter 9 (Relations)The Zermelo Fraenkel Axioms; Equivalence of Sets in form of my notes.Grading: Midterm is worth 40%, the final is worth 40% and Homework is worth 20%.For turning in Homework, students need to get the software program Scientific Notebook. MATH 5382 - ProbabilityPrerequisites:Graduate standing and Two semesters of calculus and one semester of linear algebraText(s):Probability: With Applications and R Edition: 1 by Robert P. Dobrow, ISBN: 257Description:Sample spaces, events and axioms of probability; basic discrete and continuous distributions and their relationships; Markov chains, Poisson processes and renewal processes; applications.

Thoroughly revised and updated, the new Second Edition of Neville Robbins' Beginning Number Theory includes all of the major topics covered in a classic Number Theory course and blends in numerous applications and specialized treatments of number theory, including Cryptology, Fibonacci numbers, and Computational Number Theory.

Applies toward the Master of Arts in Mathematics degree; does not apply toward Master of Science in Mathematics or the Master of Science in Applied Mathematics degrees. MATH 5383 - Number TheoryPrerequisites:Graduate standing.Text(s):Instructor's lecture notes. The reference book will be 'Beginning Number Theory' by Neville Robbins, second Edition.Description:Number theory is a subject that has interested people for thousand of years. This course is a one-semester long graduate course on number theory. Topics to be covered include divisibility and factorization, linear Diophantine equations, congruences, applications of congruences, solving linear congruences, primes of special forms, the Chinese Remainder Theorem, multiplicative orders, the Euler function, primitive roots, quadratic congruences, and introduction to cryptography. There'll be no specific prerequisites beyond basic algebra and some ability in reading and writing mathematical proofs.

Math 6397 (19996) -Scientific Code DevelopmentPrerequisites:Graduate standing.Text(s):Instructor's notes, will be posted onlineDescription:The purpose of this course is to acquire/improve programming skills in order to tackle mathematical problems that require computations (e.g. Numerically solving ODEs, PDEs, SDEs). The emphasis is on converting an algorithm or theoretical result into a good code, and presenting the results in a convenient format.Students can use a language they are familiar with or, if needed, learn a new one. Some material will be posted on-line. After presenting the basic principles, students will work on projects.

During the face-to-face meetings we will discuss and debug code.The course is suitable both for students who have very little/no programming experience and more advanced students. The individual projects will be tailored to each student's level. Alternatively, students can work on projects that are relevant to their own research.