Digital Logic Design
Digital Logic Design EENG 2710
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This 2 page Class Notes was uploaded by Loraine Nolan on Sunday October 25, 2015. The Class Notes belongs to EENG 2710 at University of North Texas taught by Parthasarathy Guturu in Fall. Since its upload, it has received 56 views. For similar materials see /class/229225/eeng-2710-university-of-north-texas in Electrical Engineering at University of North Texas.
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Date Created: 10/25/15
Summary of Student Survey of Their Learning Outcomes for Digital Logic Design EENG 2710 for Spring2006 Instructor Dr Parthasarathy Guturu After the end of Spring2006 session the students of Digital Logic Design EENG 2710 course offered by the Electrical Engineering Department of University of North Texas Denton were requested to rate their learning in the following leaning dimensions on a scale of 15 1 Poor 2 Fair 3 Good 4 Very Good and 5 Expert Level 1 History of Digital and Analog Computation From abacus to modern computer Importance of proj ectbased education and L2L principles in learning digital logic Number systems and Boolean algebra Minimization of Switching Functions Basic Logic Gates AND OR NOT NAND NOR XOR XNOR and realization of switching functions with networks of logic gates 6 Modular Design of Combinational Circuits Encoders Decoders Multiplexers De multiplexers Adders Subtractors etc 7 Basic Latches SR D JK ip ops and differences between synchronous and asynchronous memory devices 8 Finite State Machines FSM modeling state diagrams and state tables etc 9 State Minimization and Analysis and Synthesis of Synchronous Sequential Circuits 10 Analysis and Synthesis of Asynchronous Sequential Machines pAmm No of Students Learning outcomes of Digital Logic EENG 2710 for Spring 2006 Summary Eight students from a class of 10 participated in this survey The gure above presents a graphical view of the survey The summary of the survey is as follows N E 4 V39 05 gt1 9 gt0 On Dimension 1 625 rated their learning at 5 25 rated at 4 and 125 at 3 Average rating was 4125 On Dimension 2 375 rated their learning at 5 375 at 4 and 125 apiece at 2 and 3 levels Average rating was 4 On Dimension 3 75 rated their learning at 5 and 125 apiece at 3 and 4 levels Average rating was 4625 On Dimension 4 50 rated their learning at 5 125 apiece at levels 2 and 4 and 25 at level 3 Average rating was 4 On Dimension 5 375 rated their learning at 5 and 625 rated at 4 Average rating was 4375 On Dimension 6 375 apiece rated their learning at levels 3 and 4 and 125 apiece at levels 2 and 5 Average rating was 35 On Dimension 7 50 rated their learning at 5 25 rated at 4 and 125 apiece at levels 2 and 4 Average rating was 4 On Dimension 8 25 rated their learning at 5 125 at 4 and 625 at 3 Average rating was 3625 On Dimension 9 125 rated their learning at 5 and 875 rated at 4 Average rating was 4125 On Dimension 10 50 apiece rated their learning at levels 3 and 4 Average rating was 35 Conclusion and Followup Actions The survey participation at 80 is much more encouraging than the 50 of the earlier semester Possibly because of larger survey sample the percentage of student rating in different learning dimensions does not cluster around 4 and 5 as in the earlier survey Still the average rating in a majority of dimensions is 4 or above Since the rating on modular design finite state machine modeling and asynchronous machines is between 3 and 4 effort will be made to plug their deficiencies in the followup Project IV course on Digital Systems Design
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