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Exam Code: 701-100 Practice test 2023 by Killexams.com team
701-100 LPIC-OT test 701: DevOps Tools Engineer

Topic 701: Software Engineering

701.1 Modern Software Development (weight: 6)

Weight: 6



Description: Candidates should be able to design software solutions suitable for modern runtime environments. Candidates should understand how services handle data persistence, sessions, status information, transactions, concurrency, security, performance, availability, scaling, load balancing, messaging, monitoring and APIs. Furthermore, candidates should understand the implications of agile and DevOps on software development.



Key Knowledge Areas:



Understand and design service based applications

Understand common API concepts and standards

Understand aspects of data storage, service status and session handling

Design software to be run in containers

Design software to be deployed to cloud services

Awareness of risks in the migration and integration of monolithic legacy software

Understand common application security risks and ways to mitigate them

Understand the concept of agile software development

Understand the concept of DevOps and its implications to software developers and operators

The following is a partial list of the used files, terms and utilities:



REST, JSON

Service Orientated Architectures (SOA)

Microservices

Immutable servers

Loose coupling

Cross site scripting, SQL injections, verbose error reports, API authentication, consistent enforcement of transport encryption

CORS headers and CSRF tokens

ACID properties and CAP theorem



701.2 Standard Components and Platforms for Software (weight: 2)

Weight: 2



Description: Candidates should understand services offered by common cloud platforms. They should be able to include these services in their application architectures and deployment toolchains and understand the required service configurations. OpenStack service components are used as a reference implementation.


Key Knowledge Areas:



Features and concepts of object storage

Features and concepts of relational and NoSQL databases

Features and concepts of message brokers and message queues

Features and concepts of big data services

Features and concepts of application runtimes / PaaS

Features and concepts of content delivery networks

The following is a partial list of the used files, terms and utilities:



OpenStack Swift

OpenStack Trove

OpenStack Zaqar

CloudFoundry

OpenShift





701.3 Source Code Management (weight: 5)

Weight: 5



Description: Candidates should be able to use Git to manage and share source code. This includes creating and contributing to a repository as well as the usage of tags, branches and remote repositories. Furthermore, the candidate should be able to merge files and resolve merging conflicts.



Key Knowledge Areas:



Understand Git concepts and repository structure

Manage files within a Git repository

Manage branches and tags

Work with remote repositories and branches as well as submodules

Merge files and branches

Awareness of SVN and CVS, including concepts of centralized and distributed SCM solutions

The following is a partial list of the used files, terms and utilities:



git

.gitignore





701.4 Continuous Integration and Continuous Delivery (weight: 5)

Weight: 5



Description: Candidates should understand the principles and components of a continuous integration and continuous delivery pipeline. Candidates should be able to implement a CI/CD pipeline using Jenkins, including triggering the CI/CD pipeline, running unit, integration and acceptance tests, packaging software and handling the deployment of tested software artifacts. This objective covers the feature set of Jenkins version 2.0 or later.



Key Knowledge Areas:



Understand the concepts of Continuous Integration and Continuous Delivery

Understand the components of a CI/CD pipeline, including builds, unit, integration and acceptance tests, artifact management, delivery and deployment

Understand deployment best practices

Understand the architecture and features of Jenkins, including Jenkins Plugins, Jenkins API, notifications and distributed builds

Define and run jobs in Jenkins, including parameter handling

Fingerprinting, artifacts and artifact repositories

Understand how Jenkins models continuous delivery pipelines and implement a declarative continuous delivery pipeline in Jenkins

Awareness of possible authentication and authorization models

Understanding of the Pipeline Plugin

Understand the features of important Jenkins modules such as Copy Artifact Plugin, Fingerprint Plugin, Docker Pipeline, Docker Build and Publish plugin, Git Plugin, Credentials Plugin

Awareness of Artifactory and Nexus

The following is a partial list of the used files, terms and utilities:



Step, Node, Stage

Jenkins SDL

Jenkinsfile

Declarative Pipeline

Blue-green and canary deployment

Topic 702: Container Management

702.1 Container Usage (weight: 7)

Weight: 7



Description: Candidates should be able to build, share and operate Docker containers. This includes creating Dockerfiles, using a Docker registry, creating and interacting with containers as well as connecting containers to networks and storage volumes. This objective covers the feature set of Docker version 17.06 or later.



Key Knowledge Areas:



Understand the Docker architecture

Use existing Docker images from a Docker registry

Create Dockerfiles and build images from Dockerfiles

Upload images to a Docker registry

Operate and access Docker containers

Connect container to Docker networks

Use Docker volumes for shared and persistent container storage

The following is a partial list of the used files, terms and utilities:



docker

Dockerfile

.dockerignore





702.2 Container Deployment and Orchestration (weight: 5)

Weight: 5



Description: Candidates should be able to run and manage multiple containers that work together to provide a service. This includes the orchestration of Docker containers using Docker Compose in conjunction with an existing Docker Swarm cluster as well as using an existing Kubernetes cluster. This objective covers the feature sets of Docker Compose version 1.14 or later, Docker Swarm included in Docker 17.06 or later and Kubernetes 1.6 or later.


Key Knowledge Areas:



Understand the application model of Docker Compose

Create and run Docker Compose Files (version 3 or later)

Understand the architecture and functionality of Docker Swarm mode

Run containers in a Docker Swarm, including the definition of services, stacks and the usage of secrets

Understand the architecture and application model Kubernetes

Define and manage a container-based application for Kubernetes, including the definition of Deployments, Services, ReplicaSets and Pods

The following is a partial list of the used files, terms and utilities:



docker-compose

docker

kubectl





702.3 Container Infrastructure (weight: 4)

Weight: 4



Description: Candidates should be able to set up a runtime environment for containers. This includes running containers on a local workstation as well as setting up a dedicated container host. Furthermore, candidates should be aware of other container infrastructures, storage, networking and container specific security aspects. This objective covers the feature set of Docker version 17.06 or later and Docker Machine 0.12 or later.



Key Knowledge Areas:



Use Docker Machine to setup a Docker host

Understand Docker networking concepts, including overlay networks

Create and manage Docker networks

Understand Docker storage concepts

Create and manage Docker volumes

Awareness of Flocker and flannel

Understand the concepts of service discovery

Basic feature knowledge of CoreOS Container Linux, rkt and etcd

Understand security risks of container virtualization and container images and how to mitigate them
The following is a partial list of the used files, terms and utilities:



docker-machine

Topic 703: Machine Deployment

703.1 Virtual Machine Deployment (weight: 4)

Weight: 4



Description: Candidates should be able to automate the deployment of a virtual machine with an operating system and a specific set of configuration files and software.



Key Knowledge Areas:



Understand Vagrant architecture and concepts, including storage and networking

Retrieve and use boxes from Atlas

Create and run Vagrantfiles

Access Vagrant virtual machines

Share and synchronize folder between a Vagrant virtual machine and the host system

Understand Vagrant provisioning, including File, Shell, Ansible and Docker

Understand multi-machine setup

The following is a partial list of the used files, terms and utilities:



vagrant

Vagrantfile





703.2 Cloud Deployment (weight: 2)

Weight: 2



Description: Candidates should be able to configure IaaS cloud instances and adjust them to match their available hardware resources, specifically, disk space and volumes. Additinally, candidates should be able to configure instances to allow secure SSH logins and prepare the instances to be ready for a configuration management tool such as Ansible.



Key Knowledge Areas:



Understanding the features and concepts of cloud-init, including user-data and initializing and configuring cloud-init
Use cloud-init to create, resize and mount file systems, configure user accounts, including login credentials such as SSH keys and install software packages from the distribution’s repository
Understand the features and implications of IaaS clouds and virtualization for a computing instance, such as snapshotting, pausing, cloning and resource limits.



703.3 System Image Creation (weight: 2)

Weight: 2



Description: Candidates should be able to create images for containers, virtual machines and IaaS cloud instances.



Key Knowledge Areas:



Understand the functionality and features of Packer

Create and maintain template files

Build images from template files using different builders

The following is a partial list of the used files, terms and utilities:



packer

Topic 704: Configuration Management

704.1 Ansible (weight: 8)

Weight: 8



Description: Candidates should be able to use Ansible to ensure a target server is in a specific state regarding its configuration and installed software. This objective covers the feature set of Ansible version 2.2 or later.



Key Knowledge Areas:



Understand the principles of automated system configuration and software installation

Create and maintain inventory files

Understand how Ansible interacts with remote systems

Manage SSH login credentials for Ansible, including using unprivileged login accounts

Create, maintain and run Ansible playbooks, including tasks, handlers, conditionals, loops and registers

Set and use variables

Maintain secrets using Ansible vaults

Write Jinja2 templates, including using common filters, loops and conditionals

Understand and use Ansible roles and install Ansible roles from Ansible Galaxy

Understand and use important Ansible tasks, including file, copy, template, ini_file, lineinfile, patch, replace, user, group, command, shell, service, systemd, cron, apt, debconf, yum, git, and debug

Awareness of dynamic inventory

Awareness of Ansibles features for non-Linux systems

Awareness of Ansible containers

The following is a partial list of the used files, terms and utilities:



ansible.cfg

ansible-playbook

ansible-vault

ansible-galaxy

ansible-doc





704.2 Other Configuration Management Tools (weight: 2)

Weight: 2



Description: Candidates should understand the main features and principles of important configuration management tools other than Ansible.



Key Knowledge Areas:



Basic feature and architecture knowledge of Puppet.

Basic feature and architecture knowledge of Chef.

The following is a partial list of the used files, terms and utilities:



Manifest, Class, Recipe, Cookbook

puppet

chef

chef-solo

chef-client

chef-server-ctl

knife

Topic 705: Service Operations

705.1 IT Operations and Monitoring (weight: 4)

Weight: 4



Description: Candidates should understand how IT infrastructure is involved in delivering a service. This includes knowledge about the major goals of IT operations, understanding functional and nonfunctional properties of an IT services and ways to monitor and measure them using Prometheus. Furthermore candidates should understand major security risks in IT infrastructure. This objective covers the feature set of Prometheus 1.7 or later.



Key Knowledge Areas:



Understand goals of IT operations and service provisioning, including nonfunctional properties such as availability, latency, responsiveness

Understand and identify metrics and indicators to monitor and measure the technical functionality of a service

Understand and identify metrics and indicators to monitor and measure the logical functionality of a service

Understand the architecture of Prometheus, including Exporters, Pushgateway, Alertmanager and Grafana

Monitor containers and microservices using Prometheus

Understand the principles of IT attacks against IT infrastructure

Understand the principles of the most important ways to protect IT infrastructure

Understand core IT infrastructure components and their the role in deployment

The following is a partial list of the used files, terms and utilities:



Prometheus, Node exporter, Pushgateway, Alertmanager, Grafana

Service exploits, brute force attacks, and denial of service attacks

Security updates, packet filtering and application gateways

Virtualization hosts, DNS and load balancers





705.2 Log Management and Analysis (weight: 4)

Weight: 4



Description: Candidates should understand the role of log files in operations and troubleshooting. They should be able to set up centralized logging infrastructure based on Logstash to collect and normalize log data. Furthermore, candidates should understand how Elasticsearch and Kibana help to store and access log data.



Key Knowledge Areas:



Understand how application and system logging works

Understand the architecture and functionality of Logstash, including the lifecycle of a log message and Logstash plugins

Understand the architecture and functionality of Elasticsearch and Kibana in the context of log data management (Elastic Stack)

Configure Logstash to collect, normalize, transform and store log data

Configure syslog and Filebeat to send log data to Logstash

Configure Logstash to send email alerts

Understand application support for log management

The following is a partial list of the used files, terms and utilities:



logstash

input, filter, output

grok filter

Log files, metrics

syslog.conf

/etc/logstash/logstash.yml

/etc/filebeat/filebeat.yml

LPIC-OT test 701: DevOps Tools Engineer
LPI Engineer pdf
Killexams : LPI Engineer pdf - BingNews https://killexams.com/pass4sure/exam-detail/701-100 Search results Killexams : LPI Engineer pdf - BingNews https://killexams.com/pass4sure/exam-detail/701-100 https://killexams.com/exam_list/LPI Killexams : Center for Engineering and Health

The Center for Engineering and Health, a member center of the Institute for Public Health and Medicine at Northwestern University Feinberg School of Medicine, looks to develop methodologies and tools to Improve health delivery for better care at our affiliated hospitals and beyond. We are a joint venture of Northwestern's Feinberg School of Medicine and Northwestern’s McCormick School of Engineering and Applied Science.

Through the Center for Engineering and Health, we look to leverage the extraordinary expertise of the Northwestern medical and engineering schools. Healthcare delivery is complicated, expensive, and ever changing. We believe that by using the talent and knowledge of leaders in both medical and engineering disciplines, we can develop solutions that lead to better patient outcomes, as well as more efficient, cost-effective care. Our goal is to develop a nationally recognized source of innovation in the field of mobile health technologies, engineering, and analytics for affordable, equitable, and state-of-the-art healthcare delivery.

Sun, 05 Dec 2021 16:09:00 -0600 en text/html https://www.mccormick.northwestern.edu/research/engineering-and-health-center/
Killexams : Department of Materials Science and Engineering

Materials science and engineering is an interdisciplinary field that forms the foundation for many engineering applications by extending the current supply of materials, improving existing materials, and developing new, superior, and sustainable materials and processes. A key characteristic of the Drexel Materials undergraduate program is experiential learning integrated into the curriculum through co-op, a six-month internship program, as well as Vertically Integrated Projects (VIP) linking graduate, and undergraduate project-based learning and undergraduate research with our award-winning faculty. At the graduate level, the creation of new knowledge, the pursuit of funded research, and the expert training of future leaders in academic and industrial research are fundamental to materials science and engineering.

Fri, 30 Sep 2022 02:38:00 -0500 en text/html https://drexel.edu/engineering/academics/departments/materials-science-engineering/
Killexams : Electrical and Computer Engineering

Computer Engineering

Innovation is key in the steadily growing computer engineering field. Our graduates are prepared for R&D, and fields, ranging from movie special effects to nanotechnology.

Graduate | Undergraduate

Electrical Engineering

Contribute to the 21st century in technological areas that you can only begin to imagine. From communications to signal processing, the department can prepare you to transform society.

Graduate | Undergraduate

Robotics Engineering

Understand the “why” of robots and autonomous machines in a variety of settings beyond industry and manufacturing. Apply these principles to vehicles, machinery, microcontrollers, and other robotic systems.

Undergraduate

Electrical and Computer Engineering

Students determine a flexible mix of coursework in electrical and computer engineering, engineering from related fields, physical sciences, and computer science.

Graduate

Sun, 15 May 2022 17:50:00 -0500 en text/html https://www.mtu.edu/ece/
Killexams : GATE ME Syllabus 2024 with Marks Weightage, download PDF

GATE ME Syllabus 2024: Check the complete GATE ME Syllabus 2024 along with the preparation tips and recommended books for preparing for GATE mechanical exam.

Get here complete GATE Syllabus for Mechanical Engineering (ME)

GATE ME Syllabus 2024: The detailed syllabus of GATE syllabus for Mechanical Engineering (ME) 2024 will be released by the IISc Banglore along with GATE 2024 notification. The candidates are advised to go through the complete syllabus of GATE ME 2024 before making a study plan.

GATE ME Syllabus 2024

The GATE syllabus for Mechanical Engineering (ME) 2024 consists of four sections - Engineering Mathematics, Applied Mechanics and Design, Fluid Mechanics and Thermal Sciences, Materials, Manufacturing and Industrial Engineering. GATE Mechanical Engineering syllabus is vast, however, the concepts are interesting. Candidates should go through the detailed GATE ME syllabus for each Topic that has been given here. 

Engineering Mathematics

  • Linear Algebra: Matrix algebra, systems of linear equations, eigenvalues and eigenvectors.
  • Calculus: Functions of single variable, limit, continuity and differentiability, mean value theorems, indeterminate forms; evaluation of definite and improper integrals; double and triple integrals; partial derivatives, total derivative, Taylor series (in one and two variables), maxima and minima, Fourier series; gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals, applications of Gauss, Stokes and Green’s theorems.
  • Differential equations: First order equations (linear and nonlinear); higher order linear differential equations with constant coefficients; Euler-Cauchy equation; initial and boundary value problems; Laplace transforms; solutions of heat, wave and Laplace's equations.
  • Complex variables: Analytic functions; Cauchy-Riemann equations; Cauchy’s integral theorem and integral formula; Taylor and Laurent series.
  • Probability and Statistics: Definitions of probability, sampling theorems, conditional probability; mean, median, mode and standard deviation; random variables, binomial, Poisson and normal distributions.
  • Numerical Methods: Numerical solutions of linear and non-linear algebraic equations; integration by trapezoidal and Simpson’s rules; single and multi-step methods for differential equations. 

Applied Mechanics and Design

  • Engineering Mechanics: Free-body diagrams and equilibrium; friction and its applications including rolling friction, belt-pulley, brakes, clutches, screw jack, wedge, vehicles, etc.; trusses and frames; virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and momentum (linear and angular) and energy formulations; Lagrange’s equation.
  • Mechanics of Materials: Stress and strain, elastic constants, Poisson's ratio; Mohr’s circle for plane stress and plane strain; thin cylinders; shear force and bending moment diagrams; bending and shear stresses; concept of shear centre; deflection of beams; torsion of circular shafts; Euler’s theory of columns; energy methods; thermal stresses; strain gauges and rosettes; testing of materials with universal testing machine; testing of hardness and impact strength.
  • Theory of Machines: Displacement, velocity and acceleration analysis of plane mechanisms; dynamic analysis of linkages; cams; gears and gear trains; flywheels and governors; balancing of reciprocating and rotating masses; gyroscope.
  • Vibrations: Free and forced vibration of single degree of freedom systems, effect of damping; vibration isolation; resonance; critical speeds of shafts.
  • Machine Design: Design for static and dynamic loading; failure theories; fatigue strength and the SN diagram; principles of the design of machine elements such as bolted, riveted and welded joints; shafts, gears, rolling and sliding contact bearings, brakes and clutches, springs.

Fluid Mechanics and Thermal Sciences

  • Fluid Mechanics: Fluid properties; fluid statics, forces on submerged bodies, stability of floating bodies; control-volume analysis of mass, momentum and energy; fluid acceleration; differential equations of continuity and momentum; Bernoulli’s equation; dimensional analysis; viscous flow of incompressible fluids, boundary layer, elementary turbulent flow, flow through pipes, head losses in pipes, bends and fittings; basics of compressible fluid flow.
  • Heat-Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept and electrical analogy, heat transfer through fins; unsteady heat conduction, lumped parameter system, Heisler's charts; thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes, effect of turbulence; heat exchanger performance, LMTD and NTU methods; radiative heat transfer, StefanBoltzmann law, Wien's displacement law, black and grey surfaces, view factors, radiation network analysis
  • Thermodynamics: Thermodynamic systems and processes; properties of pure substances, behavior of ideal and real gases; zeroth and first laws of thermodynamics, calculation of work and heat in various processes; second law of thermodynamics; thermodynamic property charts and tables, availability and irreversibility; thermodynamic relations.
  • Applications: Power Engineering: Air and gas compressors; vapour and gas power cycles, concepts of regeneration and reheat. I.C. Engines: Air-standard Otto, Diesel and dual cycles. Refrigeration and air-conditioning: Vapour and gas refrigeration and heat pump cycles; properties of moist air, psychrometric chart, basic psychrometric processes. Turbomachinery: Impulse and reaction principles, velocity diagrams, Pelton-wheel, Francis and Kaplan turbines; steam and gas turbines.

Materials, Manufacturing and Industrial Engineering

  • Engineering Materials: Structure and properties of engineering materials, phase diagrams, heat treatment, stress-strain diagrams for engineering materials. 
  • Casting, Forming and Joining Processes: Different types of castings, design of patterns, moulds and cores; solidification and cooling; riser and gating design. Plastic deformation and yield criteria; fundamentals of hot and cold working processes; load estimation for bulk (forging, rolling, extrusion, drawing) and sheet (shearing, deep drawing, bending) metal forming processes; principles of powder metallurgy. Principles of welding, brazing, soldering and adhesive bonding.
  • Machining and Machine Tool Operations: Mechanics of machining; basic machine tools; single and multi-point cutting tools, tool geometry and materials, tool life and wear; economics of machining; principles of non-traditional machining processes; principles of work holding, jigs and fixtures; abrasive machining processes; NC/CNC machines and CNC programming.
  • Metrology and Inspection: Limits, fits and tolerances; linear and angular measurements; comparators; interferometry; form and finish measurement; alignment and testing methods; tolerance analysis in manufacturing and assembly; concepts of coordinate-measuring machine (CMM).
  • Computer Integrated Manufacturing: Basic concepts of CAD/CAM and their integration tools; additive manufacturing.
  • Production Planning and Control: Forecasting models, aggregate production planning, scheduling, materials requirement planning; lean manufacturing.
  • Inventory Control: Deterministic models; safety stock inventory control systems.
  • Operations Research: Linear programming, simplex method, transportation, assignment, network flow models, simple queuing models, PERT and CPM.

GATE ME Syllabus 2024: Official PDF

IISc Bangalore is the GATE 2024 test organising body. The GATE Mechanical syllabus 2024 has not been released yet, hence, we shall update the following link here once the GATE ME syllabus PDF has been officially released. Check here the direct link to download the official syllabus PDF of GATE ME Syllabus 2024.

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GATE ME Syllabus 2024 PDF Download

To be updated soon

GATE ME Syllabus: Section-wise weightage

In the GATE ME exam, a total of 85 % weightage is given to the core GATE ME syllabus(Including 13 % to Engineering Mathematics) and 15% weightage to General Aptitude. Section-wise weightage of GATE ME test is prepared by analyzing the past year's papers. This will help you to know the important subjects from Mechanical Engineering.

Section

Weightage Percentage

Engineering Mathematics

13

Applied Mechanics and Design

22-24

Fluid Mechanics and Thermal Sciences

23-25

Materials, Manufacturing and Industrial Engineering

25-27

How to Prepare the GATE ME Syllabus 2024?

To crack the GATE exam, candidates need to follow a well-planned preparation strategy. Here we share some tips which a candidate needs to keep in mind while preparing for the GATE exam.

  • Understand the Syllabus: Familiarize yourself with the GATE ME syllabus to get an idea of the subjects that will be covered in the exam.
  • Make a Study Plan: After understanding the syllabus, make a study plan that covers all the subjects mentioned in the syllabus. provide specific time for each Topic according to your strengths and weaknesses.
  • Clear Fundamental Concepts: The candidates need to develop conceptual clarity of all the subjects given in the  GATE ME syllabus. They should understand the core concepts thoroughly.
  • Practice Previous Year Papers: Solve previous years' question papers, this will help you to get an idea about the test pattern and the types of questions asked in previous years. It will help you identify your strengths and weaknesses and also provide you a fair idea of important topics.
  • Take Mock Tests: Take mock tests to get familiar with the actual test environment. It will help you to identify weak areas and Improve your time management skills as well. You should analyze your performance after each mock test to identify the subjects that require further attention and revise the respective topics.
  • Create Revision Notes: Create short and effective revision notes for quick revision. These notes will be helpful in last-minute revision.

GATE ME Exam: Best Books

The selection of study material is also very important to crack the GATE exam. Here we are providing a list of some highly recommended books.

  1. The Theory of Machines by S S Ratan
  2. Engineering Thermodynamics by P K Nag
  3. Material Science and Metallurgy by U C Jindal
  4. Machine design by VB Bhandari
  5. Industrial Engineering by OP Khanna

FAQ

What is GATE ME Syllabus?

GATE ME Syllabus covers the subjects like Engineering Mathematics, Applied Mechanics and Design, Fluid Mechanics and Thermal Sciences, Materials, Manufacturing, and Industrial Engineering. Candidates can also find the detailed syllabus of GATE ME on this page.

How to download GATE ME syllabus PDF 2024?

GATE ME 2024 Syllabus PDF will release by IISc Banglore. The candidates can download it from their official website.

What are the Best Books for the GATE Syllabus for ME 2024?

A list of some highly recommended books for GATE ME 2024 is as follows:
 1. The Theory of Machines by S S Ratan
 2. Engineering Thermodynamics by P K Nag
 3. Material Science and Metallurgy by U C Jindal
 4. Machine design by VB Bhandari
 5. Industrial Engineering by OP Khanna

What are the important subjects in GATE syllabus for Mechanical Engineering (ME)?

The important subjects for GATE syllabus for Engineering Mathematics, Applied Mechanics and Design, Fluid Mechanics and Thermal Sciences, Materials, Manufacturing, and Industrial Engineering. You are advised to go through the entire syllabus to excel in the exam. You can also find the detailed syllabus of GATE ME on this page.

Tue, 01 Aug 2023 05:47:00 -0500 text/html https://www.jagranjosh.com/articles/gate-me-mechanical-engineering-syllabus-pdf-download-1690895054-1
Killexams : Department of Mechanical Engineering and Mechanics

The mechanical engineering program is the largest major in the college, with 178 BS degrees awarded in 2019-20. More than 900 students are enrolled in our mechanical engineering undergraduate program. Drexel's mechanical engineering program is an innovative and flexible curriculum, offering undergraduate students the unique opportunity to specialize in areas of IoT, machine learning, artificial intelligence, robotics and controls, aerospace, automotive, manufacturing, high-performance materials, alternative energy and biomechanics.

Academic Programs
Tue, 29 Nov 2022 16:25:00 -0600 en text/html https://drexel.edu/engineering/academics/departments/mechanical-engineering/
Killexams : Women in Engineering
black and white photo of Kate Gleason
KATE GLEASON WAS A BUSINESS LEADER, INVENTOR, AND THE FIRST WOMAN MEMBER OF THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS.

Catherine Anselm Gleason was born in Rochester during 1865 and has been heralded as the first lady of gearing and the ideal business woman.

Kate's career began at age eleven when she started helping her father, William, in his machine shop after her older half-brother died from typhoid. By fourteen, Kate was the company bookkeeper and in 1884 she became the first woman to enroll in the Mechanical Arts program at Cornell University.

When Kate left for Cornell, her father hired someone to replace her in the business, but the firm began struggling financially. Her father couldn't afford to pay the salary of the man he had hired to replace Kate, and she was called home to help at Gleason Works.

By 1890, Kate was the Secretary-Treasurer and soon led sales and finance within the business. In 1893, the tool business dried up in the US and Kate decided to expand her sales region to include the European market. After a two month voyage, she arrived in Europe where she secured orders from England, Scotland, France, and Germany. This trip was among the first attempts by any American manufacturer to globalize their business.

Kate resigned from Gleason Works in 1913, and the next year was the first woman in New York to be named Receiver in Bankruptcy, serving as such for the Ingle Machine Company in East Rochester. Also in 1914, Kate was unanimously elected to membership in the American Society of Mechanical Engineers as its first woman member. In 1917, Kate became the President of the First National Bank of East Rochester, another first for an American woman.

Years later, Kate left Rochester for business ventures in California and South Carolina, travelling extensively and eventually purchased an estate in France.

Kate Gleason serves as an inspirational role model for the engineering students studying within the RIT College named in her honor. The Kate Gleason College of Engineering (KGCOE) is committed to producing engineering graduates who provide innovation in product development, becoming leaders in the global engineering community.

Mon, 17 Aug 2020 11:56:00 -0500 en text/html https://www.rit.edu/engineering/women-engineering
Killexams : Civil, Environmental, and Geospatial Engineering

Working as an engineer in the upcoming decades, you will have the chance to play a critical role in making the world a better place. In fact, students at Michigan Tech are getting a head start—by helping to facilitate sustainable development, appropriate technology, beneficial infrastructure, and social change—while they are still in school.

Mon, 17 Aug 2020 10:55:00 -0500 en text/html https://www.mtu.edu/cege/
Killexams : Electrical Engineering and Computer Science Curriculum

Prospective Students
To schedule a visit to the University of Wyoming, call 307-766-4075. Be sure to mention your interest in engineering. For more information on how to become an engineering student, see the College of Engineering and Physical Sciences Prospective Students page.

Current Students
For general student information see the College of Engineering and Physical Sciences Current Students page.

Professional Societies
Involvement in professional organizations is encouraged early in the student's career. The department has a very active student chapter of the Institute of Electrical and Electronics Engineers (IEEE). This group has received recognition as the outstanding IEEE student chapter in the thirteen-state Rocky Mountain region. Industrial field trips, nationally known speakers, and social functions are sponsored by the IEEE student chapter. Many students participate in the annual and national IEEE design contests and paper competitions.

Accreditation
The Electrical Engineering and Computer Engineering curriculum at the University of Wyoming is accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology. Graduate work may be completed for the M.S. or Ph.D. degree in electrical engineering.

Policies

Internship/CO-OP Credit

Any internship credit for ECE majors must be through EE4800.

“Technical Elective” or "CPEN Elective" credit can be earned for professional internships or CO-OPs.  Before beginning the internship/CO-OP, a proposal must be written by the student explaining what ECE skills they will be using and learning during their work experience.  It must be approved by the ECE department. After completing the internship/CO-OP, the student must write a report which their work supervisor approves. It documents what ECE skills they used and learned during the internship/CO-OP.  It will be graded by the faculty supervisor, who will provide a S/U grade.  One credit is earned for each semester or summer, up to a maximum of 3 credit hours. More information on the internship program can be found here.

Lab Policies:

Students must earn a passing grade in all the labs associated with a course otherwise they do not pass the course. 

If a student has a passing grade in the lab portion of a course, that course can be retaken without repeating its lab portion.  The previously earned lab grade will be carried into the grading of the repeated course. 

Substitutions for EE4870:

If EE4870 Network Hardware has not been offered in three consecutive semesters, the following 7 courses have been approved by the faculty to be allowed as substitutions for it the next semester:  EE4345 - Hardware DSP; EE4360 - VLSI Design; COSC 4010-04 - Cyber Security; COSC 4765-01 - Computer Security; COSC 4555 - Machine Learning; EE5410 - Neural and Fuzzy Systems; EE5670 - Digital Image Formation and Acquisition

Transfer Credit Policy (for ECE)

(1) To graduate with a bachelor’s degree in Electrical, Electrical with a Bio-Option, or Computer Engineering from UW, students must successfully complete at least 30 hours of EE or BE courses from the University of Wyoming.

(2) Courses will be considered for preapproved transfer as a UW EE course only if they are taken from an institution in the attached list.  No online courses taken outside the Wyoming system will be considered for preapproved transfer.

(3) Before taking a course, a student should verify that the course has the potential to transfer by working with their professional advisor to get the “College of Engineering and Physical Sciences Petition for Curriculum Adjustment” form signed.  Even a very good course may not have the potential for transferring if it is outside of the collective ECE faculty’s expertise.  The approval of the course may be conditional.  For instance, the UW ECE department may stipulate that after completion of the course it will test that student and examine the course content to determine if they have learned the specified material.  If they pass the examination, credit will be transferred for that course on a one-time basis.

(4) Students enrolled in the International Engineering Option, Minor, or Study Abroad will have their international courses considered for preapproved transfer. They may also petition to have the hours required in item (1) lowered.  

Time Limits for GA Support:

A Masters student will only be allowed two years of state-funded support, even if they only received four semesters of half GA support during that time. A Doctoral student can only receive five years post Bachelors (even if they are only at half support).

Direct PhD Admission (BS to PhD)

Direct PhD admission has to be approved by the ECE faculty. You need to submit the student's transcripts and make a case during the meeting.

Switching from MS to PhD

The current MS student should complete the MS degree (Plan A or plan B) and then depending on their GPA there are two paths: If the GPA is 3.8 or above, there is no requirement of faculty review, and it is automatic admission to PhD. If the GPA is lower than 3.8 and higher or equal than 3.4, the ECE faculty will review the application.

Thu, 08 Sep 2022 05:31:00 -0500 en text/html https://www.uwyo.edu/EECS/undergraduate/courses-requirements/index.html
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There are several unique factors that blend together to make Miami University’s College of Engineering and Computing (CEC) the right place to focus on socially engaged engineering and computing. Faculty and students, supported by all CEC constituents, working together to advance the idea of improving the general well-being of individuals and societies through integrating social and technical aspects into our pedagogical, design and scholarly endeavors as a practice and field of inquiry. We intended to accelerate the social benefits of technological innovation, by ensuring our graduates understand user/community needs and incorporate this into their future designs.

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