Computer Explorations In Signals And Systems Using Matlab Solution Manuall _VERIFIED_
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E E 443 Machine Learning for Signal Processing Applications (4)Application of machine learning and deep learning algorithms to real-world signal, image, and video processing problems using cloud computing with central, graphics, and tensor processing units (CPU/GPU/TPU). Characteristics of multi-dimensional signals and systems. Unsupervised and supervised learning. Deep learning convolutional neural networks. Generative adversarial learning. Open long-tailed recognition. Object detection and segmentation. Prerequisite: a minimum grade of 1.0 in E E 242; MATH 136 or MATH 208; and either IND E 315, MATH 394/STAT 394, or STAT 390.View course details in MyPlan: E E 443
1024: ENGINEERING EXPLORATIONIntroduction to the profession and the College of Engineering. Foundation material in: problem definition, solution and presentation; design, including hands-on realization working in teams; modeling and visual representation of abstract and physical objects; scientific computation; algorithm development, computer implementation and application; documentation; ethics; and professionalism. Grade of C- or better required of all students attempting entry into College of Engineering programs. Attempts to achieve grade of C- or better limited to two attempts, including attempts utilizing the W grade option. Co: MATH 1205. (2H,2C)1044: GREEN ENGINEERING LECTURE SERIESWeekly discussions presented by engineers, environmentalists, scientists, and public officials concerning the need for engineering works to be planned, constructed, and operated in harmony with the environment. (1H,1C)1104: EXPLORATION OF THE DIGITAL FUTUREBuilds on the principles and practice of engineering design introduced in 1024 and introduces various discipline-specific engineering tools. Topics covered include: the engineering design cycle; patent application and search; basic project management; written and oral communications. Basic computer organization and Boolean algebra. Signal and information coding and representation. Introduction to networking. For students planning to major in Computer Engineering, Computer Science, or Electrical Engineering. Grade of C- or better required of all students attempting entry into College of Engineering programs. Attempts to achieve grade of C- or better limited to two attempts, including attempts utilizing the W grade option. Partially duplicates 1114. Duplicates 1204. Prerequisite requires grade of C- or better. Pre: 1024. (2H,2C)1114: EXPLORATION OF ENGINEERING DESIGNBuilds on principles and practice of engineering design introduced in 1024 and introduces various discipline-specific engineering tools. Topics covered include: engineering design cycle; patent application and search; basic project management; written and oral communications; computer assisted design and analysis; the graphics language; working in a team environment. Requires successful completion of a team-based design project. For students planning to major in Aerospace Engineering, Biological Systems Engineering, Chemical Engineering, Civil and Environmental Engineering, Engineering Science and Mechanics, Industrial and Systems Engineering, Materials Science and Engineering, Mechanical Engineering, Mining and Minerals Engineering, and Ocean Engineering. Grade of C- or better required of all students attempting entry into College of Engineering programs. Attempts to achieve grade of C- or better limited to two attempts, including attempts utilizing the W grade option. Partially duplicates 1104. Duplicates 1214. Prerequisite requires grade of C- or better. Pre: 1024. (2H,2C)1204: DIGITAL FUTURE TRANSITIONBuilds on the principles and practice of engineering design introduced in 1024 and introduces various discipline-specific engineering tools. Basic computer organization and Boolean algebra. Signal and information coding and representation. Introduction to networking. For students who have successfully completed 1114 and are now planning to major in Computer Engin
