experience of using UML andObject-Oriented design concepts in conjunction with project-based learning. This perspectivewould be valuable to raise critical thinking and facilitate the conceptual learning in high levelcomputer science and STEM classes.It is well noticed that the theme of project-based learning is learn-by-doing. Students will gainexperience by being exposed to real world problem and challenges and finding solutions by theapplying concepts and methodologies. This class was planned to ensure that students areprovided an environment for the successfully tackling of a problem using the knowledge units,not just landing a job.To align with the course objective of changing mindsets from “wild” code writing to prior planningand documentation
requirements statement and develop specifications for a software system based on requirements. (Requirements and Specifications) CODE Write syntactically-correct source code, making appropriate use of fundamental constructs such as variables, branches, loops, and functions that solves a well-posed computational problem. Understand how computers process data, how to model domain concepts and procedures as data types and code, and how to formulate a human problem as an abstract computation. (Write codes) DESC Design software exhibiting design best practices, such as clarity, structured programming, separation of concerns, and/or design principles and patterns, and describe it clearly using
CAC and ETAC. In this example, let’sfocus on CAC and ETAC student outcomes 1 and 2. Below is a list of questions that were used inan examination to test and demonstrate achievement of the student outcomes. 1. Write a program that accomplishes the following Generates a random number Asks the user to guess the random number generated If guess is not between 1 and 10, print message “no!” If user has guessed the number correctly, print out “You got it!” Otherwise, print the correct random number generated. 2. Write a Java program that asks the user to enter three integers. Use an if else statement to print out the largest integer. 3. Write a for loop that asks the user to enter five integers
. At first R = 1 Ω and C = 1 F, students can vary thesevalues to see the effect on the frequency response plots. The transfer function H(s) = Y(s) / X(s)can be derived by writing system equations in the frequency domain (or alternatively bytransforming system’s differential equation) and is given by:H(s) = - s / (s2 + 2s +1)To see what kind of filtering operation is performed on the input signal, students can plotfrequency response function H(ω) = H(s = jω) . This can be done in MATLAB using bodefunction:>> % Frequency Response Plots using MATLAB>> B = [-1 , 0] ;>> A = [1 , 2 , 1] ;>> SYS = tf (B , A)>> bode (SYS) ;>> Bode Diagram, H(s), Analog Filter
program is to exposestudents to cybersecurity concepts especially Cybersecurity fundamentals, cryptography, ethical hackingand computer forensic. Our cybersecurity experience will help us in designing hands-on activitiessuitable for K-17, especially 6-12 grade classrooms.These activities engage students in solving a given problem or implementing a certain task, therebyenhancing their imagination ability and creativity. In our K-17 outreach programs, our objective will beto enable students in bringing their ideas into life. Educating teachers is a vital component in thisoutreach program. This is because it is the K-17 teachers who can provide students an everydayexperience of computing/cybersecurity concepts through afterschool programs or by
Design course is to provide our students with a realisticembedded design experience and to teach them the tools and methodologies that can help thembe successful. Our senior design course is structured as a collection of independent studentprojects. This course is offered every semester. Usually, the students in the ComputerEngineering program take this course during their last semester. Students have the option ofworking individually or in group of twos. Students either can come up with an embedded projectthemselves or work on a project that is given to them by their advisor. Students write a proposalto define problems and identify solution approaches for their project and the hardware andsoftware that is needed for their project. After several
team, and Kali Linux. In this paper, we provideexamples on how students’ knowledge of CPS security changes over the course of the program,how students are supported in and out of the classroom towards advancing their knowledge in thisfield. We also highlight the impact that project-based and team coordinated learning can have onincreasing students’ understanding of the fundamentals of CPS security.IntroductionA recent study by Cybersecurity Ventures [1], a respected publisher of cybersecurity content,predicts that 3.5 million cybersecurity jobs around the world will be unfilled by 2021. In the UnitedStates, the demand for professionals with cybersecurity expertise is outpacing all other occupations[2]. These reports, along with many others
are covered in order, learningmaterials with interconnection in the back-and-forth pedagogy are particularly arranged to becovered repeatedly in a back-and-forth mode, Back and Forth. This technique allows instructorsto explain a concept or idea in various stages and share thoughts with students repeatedly.This curriculum is mainly focused on a set of rules and methods that describe the functionality,organization, and implementation of computer systems and architecture. Students learn MIPSassembly language, fundamentals of hardware technologies, computer arithmetic, pipelining,memory hierarchies, and I/O., while corresponding review questions, assignments, and in-classexercises were assigned to students frequently in a back-and-forth mode to
point is inside or not). Due to the randomness in the inputs, the outputs arealso random variables. Finally, the statistics of the output random variables (the percentage ofpoints inside the circle) are computed, which estimates the output.Students were then given the handout and advised to compute value of pi for each value ofn = 100, n = 10000 and n = 1000000, run the script 3 times.Ex.1: Compute and interpret as to how accurate is the estimated pi using:1. MatLab2. Microsoft Visual Studio and C#3. Python Figure 2. C# Program to compute the value of PI Figure 3. Python program to compute the value of PI using a functionEx. 2 Write the Matlab scripts and C# programs to demonstrate Monte Carlo Method to
courses complementing the primary major, and atwo-semester capstone project course; 10 courses worth 30 credit hours in total.Figure 1: Program outline. Shaded courses form a required core. Arrows to electives are notdrawn, different core courses are prerequisites for different electives.2.2 Core coursesThe goal of the core courses is to develop fundamental knowledge and skills. All core courseshave non-credit weekly labs associated with them.2.2.1 Introduction to Computer Science IIntroduction to Computer Science I (Intro I) course is designed for students with no priorbackground in computing. It has two central aims. The first aim is to enable the students todevelop computational solutions to practical problems: • Break a
project dataBy analyzing the assessment data, it seems students in the senior project have weaknesses inthree major areas: Design, Mathematical modelling, EthicsTo improve design, mathematical modelling, and calculation, suggestion is to have one of themajor weekly assignment be an Engineering Logbook. Every week students should submit theirdesign, and calculation. For example, if students use SONAR in their project, in the engineeringlogbook they must write all calculations and how to measure distance or in the case of motorconnection to micro-controller they must write in the logbook all calculations for the requiredcurrent. Regarding ethics, in the course shell one module should be covered the engineeringethics specially IEEE Engineering
recommender systems.Dr. Jeffrey Lloyd Hieb, University of Louisville Jeffrey L. Hieb is an Associate Professor in the Department of Engineering Fundamentals at the Univer- sity of Louisville. He graduated from Furman University in 1992 with degrees in Computer Science and Philosophy. After 10 years working in industry, he returned to school, completing his Ph.D. in Computer Science Engineering at the University of Louisville’s Speed School of Engineering in 2008. Since com- pleting his degree, he has been teaching engineering mathematics courses and continuing his dissertation research in cyber security for industrial control systems. In his teaching, Dr. Hieb focuses on innovative and effective use of tablets
Module B towebcams; 3) Debugging wifi: Turn on Power module to check if Wifi module is successfully paired; 4) Unplug Power module, then connect Test Modules and connect Power Supply to theother end of Test Modules to supply power to the system; Fig. 2 Hardware Architecture of Control Model on Smart Cars Fig. 3 Software Architecture of Control Model of Smart Cars 5) Debug Handwritten Number Recognition Module: put a handwritten number under thecamera to see if Test Modules can display numbers normally. If it is correct, tests pass; 6) Students write a simple input/output conversion program on PC, which converts inputsinto a signal format to control by Car Module (for example: "start": "input
to make it an acceptable program are provided, and the program is to be submitted for review after the changes are made, or The program requires significant change and should not be offered as proposed.The final decision to offer or not to offer a program resides with the leadership of the RELLISCybersecurity Alliance. Such decisions could be based on facilities or economics of demand,rather than program content. If the action of the leadership team regarding the program isdifferent from the recommendation of the Industry Advisory Council, the leadership team willnotify the Industry Advisory Council in writing of its decision and the basis for that decision.The Advisory Council will have the opportunity to respond to that
needs of both industry and academia especially for professional studies [16], [17]. CBEemphasizes the mastery of learning but also emphasizes that not all students learn at the samepace or necessarily in the same manner. To accommodate these differences, CBE incorporatesself-directed learning.A key component of CBE is not just how learning is structured, but also the competencies thatthe mastery will be measured against [16], [17]. Thus, identifying and clearly describing thecompetencies that are critical for a learner to obtain mastery of, is fundamental. Theidentification or cataloging of competencies requires that academia work with industry and theprivate sector and that all the partners recognize that this is a dynamic process as
Paper ID #22542Virtual Reality Implementation of a Scanning Electron Microscope in Nan-otechnology EducationLandon A. Braden Landon is an electrical engineering student at Utah Valley University. As a member of UVU’s nan- otechnology team, he writes lesson material and participates in experiments involving nanotechnology fabrication. He is also an amateur inventor.Scott Alexander Kaiser, Utah Valley University Scott is an undergraduate physics student at Utah Valley University. He is working as a research student to develop laboratory experiments for an associate level nanotechnology program.Dr. Reza Kamali-Sarvestani, Utah
. Therefore, the student is far better equipped if he is well educatedand able to leverage that education to be quickly and easily trained in the latest technologies.One of my primary goals when teaching undergraduates is to get them to see the connectionbetween education and long term success. As a child, I had spent many hours tutoring mentallyhandicapped adults at a local sheltered workshop, and I am firmly convinced that even a personwith a below-average IQ can learn the fundamentals of computer theory as long as they are wellmotivated, have a good teacher and have unlimited time. Unlimited time is something I cannotgive to my students, however. The students have commitments to other classes and often to familyand work outside the university
Paper ID #34473A Hands-on Learning Approach to Introducing Computer Organization andArchitecture to Early-college StudentsDr. D. Cenk Erdil, Sacred Heart University Dr. Erdil has joined Sacred Heart University’s School of Computer Science & Engineering in Fall 2017. Prior to SHU, he has held academic positions at Marist College, Columbia University, and Istanbul Bilgi University. His research interests include using Cloud Computing as Artificial Intelligence Infrastructures, Cyber-Physical Systems and Internet-of-Things, Teaching coding to P-12 students, and Health Informat- ics. He is the author of numerous peer
information systems, networking, web sitedevelopment, and how to write computer programs with Python. As a general education course,it is available to any student to use to complete the requirements for their degree. As a result,students enrolled in the course have diverse academic backgrounds and a wide range of priorexperience with computer science concepts.Course material is divided into weekly subjects ranging from an introduction to informationtechnology and networking, creating a webpage using raw HTML, to an introduction toalgorithms and programing concepts with Python. Each week, recorded lectures, course slides,and related online materials are provided via the university’s online course management system(Blackboard). Classroom lectures can
- ods. Shanon has taught courses in thermodynamics, numerical methods (graduate), fluid dynamics, gas dynamics (graduate), computational fluid dynamics (undergrad/graduate), fundamentals of engineering, mathematical analysis in MATLAB. Currently, Shanon is enrolled in the Computer Science Education program at Stanford University.Dr. Bryce E. Hughes, Montana State University Bryce E. Hughes is an Assistant Professor in Adult and Higher Education at Montana State University, and holds a Ph.D. in Higher Education and Organizational Change from the University of California, Los Angeles, as well as an M.A. in Student Development Administration from Seattle University and a B.S. in General Engineering from Gonzaga
about different processes and things. ArduinoProgramming has introduced new features for writing codes that are deemed as user friendlywith unification of procedural and object-oriented portion of the language.Microcontroller and Subsystems OperationFigure 1 shows the Arduino sketch displaying the Parasitic Thermoelectric GeneratorComponent Diagram. The Arduino Uno micro-controller interfaces with 5V relay modulechannels switches and control components for applications such as 12V CPU Fans, 5Vvoltmeter, 5V low current Temperature Sensor, Grounding safety switch for 22V Peltier w/ 1Afuse load and Grounding safety switch for LM2596s Voltage regular. It is powered by a 12 VBattery that gets charged from a 22V max Peltier DC source
computer science program: Relatively low retention rate and slow progress toward graduation due to poor performance of freshman and sophomore students in gate keeping courses (computer programming and logic classes). Unsatisfactorily performance of senior students in programming sections of exit exam conducted by ETS and the programming projects of Senior Seminar (Capstone) class. This is partly due to the fact that most of current upper level courses do not require any substantial programming activities in the course curriculum in order to constantly engage students in writing efficient and logically sound computer programs. Retention of high achieving student due to lack of enrichment
instructions maylimit students’ ability to apply computational thinking skills in various situations, especiallywhen solving non-computer programming-related problems, which is part of the computationalthinking spirit [17], [26], [35]: in everywhere and for everyone. Still, it is also unclear whetherthese skills were used when dealing with non-programming problems. This exploratory casestudy aims to provide some insight on that issue.Computational Thinking and Computer Science Wing defines computational thinking as “an approach to solving problems, designingsystems and understanding human behavior that draws on concepts fundamental to computing”(p.3717) [35]. The terms computing refers to computer science as a discipline, which is definedas a
students fundamental principles of security engineering.Our work is different by using IoT kits as a vehicle to build secure systems while emphasizingon teaching the secure design principles.ApproachThis section provides details on how the kit is used to achieve the learning outcomes and objectivesrelated to designing and building secure IoT systems.“Secure-It-Yourself” Kit:At the beginning of the semester, “Secure-It-Yourself” were distributed to the students so they canfamiliarize themselves with its components. At the end of the semester, students are required toturn in the kits. Instructors need to have extra backup kits and extra components.The students’ kit includes the following: • Raspberry Pi unit, 3B+ model or 4B model • PIR motion
and teach it to their students. Furthermore, integrating CT into schoolcurriculum poses new challenges regarding the changes. We find that the available and existingresources for transitioning from block programming to Python require further insightfulreconfiguration and modification to fit the middle school curriculum.1 IntroductionComputational thinking (CT), as a set of fundamental skills that support problem solving andunderstanding human behavior [1–3], continues to receive consideration as a critical componentof middle school programs. This emphasis is important given that computational thinking hasprimarily focused on computer science with little emphasis in other disciplines [4, 5]. Challengesin integrating computational thinking
toproductive time. For example, people can work on a project, write an email, check kid’sschoolwork, make phone calls or text messages, read book or listen to podcast, or simply enjoythe ride.Second, traffic congestion will be reduced. One of the leading causes of traffic jams is selfishbehavior among drivers. If drivers space out and allow each other to move freely between laneson the highway, traffic would flow more smoothly. Self-driving cars can be programmed to 3space out automatically, and thus help reduce congestion. In addition, with traffic information,self-driving cars can calculate alternative and more efficient routes in real time.Third, drivers spend less time on parking. Self-driving cars
of student feedbackregarding the level of their interest in programming before and after robotic activities, thechallenges of programming a robot, and their overall rating of integrating robotic activities inprogramming classes are presented and discussed.IntroductionIntroductory computer programming is a core subject in the curriculum of computer sciencemajor. The subject is frequently taught in three different courses; namely, CS 0, CS 1, and CS 2.The topics covered in CS 0 are often related to various fundamental concepts in computing andcomputer algorithms. Many computer science programs place a particular emphasis on computeralgorithm in CS 0 to familiarize students with programming logic. In CS 1, students learn towrite computer
general education courses are other socialsciences, humanity, and art courses that students can choose from a given collection of courses.Table 6 below is a summary of these two categories of non-technical general education courses. Table 6: Summary of course credits of non-technical general education courses Tsinghua SJTU SEU PKU BUPT HIT USTC BUAA Fundamentals of moral ethics 3 3 3 2 3 2 3 and laws Mao Zedong thoughts and the 4 6 3 4 4 4 theory of socialism with Chinese characteristics Contemporary Chinese history 3 2 2 2 2 2 2 Basic principles of
the semester during theregularly scheduled laboratory sessions, which are otherwise used for the implementation ofcoding concepts and development of programming skills through interactive group activities andcode-writing exercises. The coding interviews provided an opportunity for each student to meetindividually with a Teaching Assistant (TA) or Instructor to discuss the core programmingconcepts of the course in the context of code that the student wrote for a previous assignment.The TAs were trained to keep the interviews as an informal discussion focused on the codingconstructs implemented in the student’s code with primary goals as follows: • To ensure each student is developing fundamental programming skills and to flag those
data for a planned multiple semester longer term project.This paper contains (1) motivation and goals for this work, (2) outcomes and learning objectives,(3) instructions on how to design this kind of assignment, (4) the video assignment write up, (5)the rubric for the video, (6) the rubric for peer feedback, and (7) the rubric for reflection. Thispaper focuses on the structure and instruments used during the course.About the CourseArtificial Intelligence (AI) is being used to tackle more and more of the real-world problemsaround us. EECS 4901 Special Topics: Introduction to Artificial Intelligence will introducestudents to the fundamentals of Artificial Intelligence (AI). During this course students will lookat various problems being solved