Engineering- and technology-related books in the library's Information Desk STEM reserve collection for short-term checkout are listed below.
These books can typically be checked out for 7 days, and can be renewed in person at the Information Desk. The real-time availability of reserve or other books can be determined by using the IUCAT system at iucat.iu.edu or by calling the Information Desk at 317-274-0469.
* Indicates that the campus has an ebook version or a University Library "stacks" print copy.
Browse further down to see POPULAR BOOKS and ADVANCED/SPECIALIZED BOOKS
TECHNOLOGY-, LEADERSHIP-, AND COMMUNICATION-FOCUSED
Cases and exercises in organization development & change; Anderson; 2nd ed. 2018.
Available for the library to purchase by request as ebook: Case study research: Design and methods; Yin; 6th ed. 2018.
Available for the library to purchase by request: Leadership: Theory and practice; 9th ed. Northouse; 2021.
Available for the library to purchase by request: Organization change: Theory & practice; Burke; 6th ed. 2023.
Available for the library to purchase by request: Practical research: Planning and design; Leedy; 2023.
POPULAR:
Algorithms illuminated: The basics; Roughgarden: The Basics; 2017.
Algorithms illuminated: Graph algorithms and data structures; Roughgarden; 2017.
Algorithms illuminated : Part 3, Greedy algorithms and dynamic programming; Roughgarden; 2017.
Available for the library to purchase by request: Part 4: ALGORITHMS ILLUMINATED: ALGORITHMS FOR NP-HARD PROBLEMS
Compilers: Principles, techniques, & tools; Aho; 2nd ed. 2007.
Dissertation warrior; White; 2017.
Fundamentals of solid state engineering; Razeghi; 4th ed. 2019.
Handbook of regression methods; Young; 2017.
Hands-on introduction to LabVIEW for scientists and engineers; Essick; 4rd ed. 2019.
Introduction to tensor analysis and the calculus of moving surfaces; Grinfeld; 2013.
Modern electrodynamics; Zangwill; 2013.
*Numerical algorithms :Methods for computer vision, machine learning, and graphics*; Solomon; 2015.
Numerical methods for engineers and scientists: An introduction with applications using MATLAB; Gilat; 3rd ed. 2014.
*Practical LATEX*; Grätzer; 2014.
Signal and power integrity -- simplified; Bogatin; 3rd ed. 2018.
Signals and systems using MATLAB; Chaparro & Akan; 3rd ed. 2019.
ADVANCED/SPECIALIZED
Computer programming with C++; Pimparkhede; 2017.
Computer vision: Models, learning, and inference; Prince; 2012.
Convex optimization; Boyd & Vandenberghe; 2004.
Fundamentals of numerical computation; Driscoll & Braun; 2018.
*Juran's quality handbook: The complete guide to performance excellence*; 7th ed. 2017.
*Matrix computations*; Golub & Van Loan; 4th ed. 2013.
Partial differential equations; Evans; 2nd ed. 2010.
Physical biology of the cell; Phillips et al.; 2nd ed. 2013.
Signals, systems, and inference; Oppenheim; 2016.
