Graduate Coursework Portfolio - Revision history

Mark at 15:41, 29 September 2024

2024-09-29T15:41:23Z

← Older revision		Revision as of 15:41, 29 September 2024
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	The main sections on this page outline graduate courses that contained a substantial project, analysis, or implementation component.		The main sections on this page outline graduate courses that contained a substantial project, analysis, or implementation component.

	~~test edit~~

	== Overview ==		== Overview ==

Mark at 15:41, 29 September 2024

2024-09-29T15:41:06Z

← Older revision		Revision as of 15:41, 29 September 2024
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	The main sections on this page outline graduate courses that contained a substantial project, analysis, or implementation component.		The main sections on this page outline graduate courses that contained a substantial project, analysis, or implementation component.

			test edit

	== Overview ==		== Overview ==

Mark: /* Wearable Mechatronic Devices for Rehabilitation (MAE 501 - Individual Problems) */

2015-09-15T05:01:26Z

Wearable Mechatronic Devices for Rehabilitation (MAE 501 - Individual Problems)

← Older revision		Revision as of 05:01, 15 September 2015
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	== Wearable Mechatronic Devices for Rehabilitation (MAE 501 ~~- Individual Problems~~) ==		== Wearable Mechatronic Devices for Rehabilitation (MAE 501) ==

	The student will undertake their 3 credit independent study under faculty direction (Venkat Krovi PhD, Mechanical and Aerospace Engineering) with additional domain expertise provided by professors from Rehabilitation/Exercise Science departments on an experimental, theoretical, or applied problem <nowiki>[redacted]</nowiki> The student will be responsible in assisting with the development of and/or ongoing research projects. This may involve piloting new hardware and software configurations with emphasis on acquiring data from persons with dysfunction and integrating the device (with Matlab) for data extraction, post-processing and analysis.		The student will undertake their 3 credit independent study under faculty direction (Venkat Krovi PhD, Mechanical and Aerospace Engineering) with additional domain expertise provided by professors from Rehabilitation/Exercise Science departments on an experimental, theoretical, or applied problem <nowiki>[redacted]</nowiki> The student will be responsible in assisting with the development of and/or ongoing research projects. This may involve piloting new hardware and software configurations with emphasis on acquiring data from persons with dysfunction and integrating the device (with Matlab) for data extraction, post-processing and analysis.

Mark: /* Wearable Mechatronic Devices for Rehabilitation (MAE 501 - Individual Problems) */

2015-09-15T05:00:55Z

Wearable Mechatronic Devices for Rehabilitation (MAE 501 - Individual Problems)

← Older revision		Revision as of 05:00, 15 September 2015
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	Fall 2015		Fall 2015
	</ref>		</ref>


	''' Development of a Home-Based Stroke Rehabilitation System on Mobile Electronic Consumer Devices '''		''' Development of a Home-Based Stroke Rehabilitation System on Mobile Electronic Consumer Devices '''
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	* Fully document the technical aspects of electro-mechanical design analysis and hardware & software design details		* Fully document the technical aspects of electro-mechanical design analysis and hardware & software design details
	* Deliver a functional prototype with live demonstration of the integrated system		* Deliver a functional prototype with live demonstration of the integrated system


	== Analytical Dynamics (MAE 562)==		== Analytical Dynamics (MAE 562)==

Mark at 04:25, 15 September 2015

2015-09-15T04:25:58Z

← Older revision		Revision as of 04:25, 15 September 2015
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	<ref name="ub_mae_course_descriptions">		<ref name="ub_mae_course_descriptions">
	Graduate Courses - UB Mechanical and Aerospace Engineering "Graduate Course Descriptions"; Department of Mechanical and Aerospace Engineering, University at Buffalo - SUNY;		Graduate Courses - UB Mechanical and Aerospace Engineering "Graduate Course Descriptions"; Department of Mechanical and Aerospace Engineering, University at Buffalo - SUNY;
	Fetched: September 2015; Source: [http://www.mae.buffalo.edu/graduate/course_descriptions.php\|http://www.mae.buffalo.edu/graduate/course_descriptions.php]		Fetched: September 2015; Source: [http://www.mae.buffalo.edu/graduate/course_descriptions.php\| http://www.mae.buffalo.edu/graduate/course_descriptions.php]
	</ref>		</ref>
	Then, the major coursework is denoted by a title in '''bold-faced type''' following by a bullet list of key outcomes. The remainder of each course section provides a glimpse of the project. Finally, [[#Other Courses\|additional relevant coursework]] is listed along with course descriptions.		Then, the major coursework is denoted by a title in '''bold-faced type''' following by a bullet list of key outcomes. The remainder of each course section provides a glimpse of the project. Finally, [[#Other Courses\|additional relevant coursework]] is listed along with course descriptions.
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	== Wearable Mechatronic Devices for Rehabilitation (MAE 501 - Individual Problems) ==		== Wearable Mechatronic Devices for Rehabilitation (MAE 501 - Individual Problems) ==

	The student will undertake their 3 credit independent study under faculty direction (Venkat Krovi PhD, Mechanical and Aerospace Engineering) with additional domain expertise provided by professors from Rehabilitation/Exercise Science departments on an experimental, theoretical, or applied problem \[redacted\] The student will be responsible in assisting with the development of and/or ongoing research projects. This may involve piloting new hardware and software configurations with emphasis on acquiring data from persons with dysfunction and integrating the device (with Matlab) for data extraction, post-processing and analysis.		The student will undertake their 3 credit independent study under faculty direction (Venkat Krovi PhD, Mechanical and Aerospace Engineering) with additional domain expertise provided by professors from Rehabilitation/Exercise Science departments on an experimental, theoretical, or applied problem <nowiki>[redacted]</nowiki> The student will be responsible in assisting with the development of and/or ongoing research projects. This may involve piloting new hardware and software configurations with emphasis on acquiring data from persons with dysfunction and integrating the device (with Matlab) for data extraction, post-processing and analysis.
	<ref>		<ref>
	MAE 501 Course Description;		MAE 501 Course Description;
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	Courses - UB Computer Science and Engineering "CSE Graduate Course Offerings"; Department of Computer Science and Engineering, University at Buffalo - SUNY;		Courses - UB Computer Science and Engineering "CSE Graduate Course Offerings"; Department of Computer Science and Engineering, University at Buffalo - SUNY;
	Fetched: September 2015;		Fetched: September 2015;
	Source: [http://www.cse.buffalo.edu/graduate/courses.php\|http://www.cse.buffalo.edu/graduate/courses.php]		Source: [http://www.cse.buffalo.edu/graduate/courses.php\| http://www.cse.buffalo.edu/graduate/courses.php]
	</ref>		</ref>

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	</ref>		</ref>

	:;Class Outline		:Class Outline
	::* Robot Mobility		::* Robot Mobility
	::* Legged/wheeled locomotion		::* Legged/wheeled locomotion
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	::* Robot Coordination (maybe)		::* Robot Coordination (maybe)

	;Student Expectation		:Student Expectation
	::* Expect moderate to heavy load – on average 10 hrs a week, sometimes more		::* Expect moderate to heavy load – on average 10 hrs a week, sometimes more
	::* Learn the theory, do it in practice		::* Learn the theory, do it in practice
	::* Math: Trigonometry, probability, CS theory		::* Math: Trigonometry, probability, CS theory
	::* Programming: C/C++/Java/Python		::* Programming: C/C++/Java/Python
	::* ~~Grades: Please talk to me~~		::* <nowiki>[redacted]</nowiki>
	~~::* Will not change grades end of semester~~
	~~::* Plagiarism: Check with me~~/~~TA on what is ok and what is not~~

	;Class Emphasis		:Class Emphasis
	::* Introduction to robots/robotics		::* Introduction to robots/robotics
	::* Theory and practice – learn by doing		::* Theory and practice – learn by doing

Mark at 04:19, 15 September 2015

2015-09-15T04:19:11Z

← Older revision		Revision as of 04:19, 15 September 2015
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	<ref>		<ref>
	MAE 501 Course Description;		MAE 501 Course Description;
	Professor Venkat Krovi;		[http://www.mae.buffalo.edu/people/full_time/v_krovi.php\|Professor Venkat Krovi];
	Department of Mechanical and Aerospace Engineering, University at Buffalo - SUNY;		Department of Mechanical and Aerospace Engineering, University at Buffalo - SUNY;
	Fall 2015		Fall 2015
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	</ref>		</ref>

	;Class Outline		:;Class Outline
	• Robot Mobility		::* Robot Mobility
	• Legged/wheeled locomotion		::* Legged/wheeled locomotion
	• Forward/inverse kinematics		::* Forward/inverse kinematics
	• Simple Control		::* Simple Control
	• Sensing/Perception		::* Sensing/Perception
	• Ranging		::* Ranging
	• Vision		::* Vision
	• Localization and Mapping		::* Localization and Mapping
	• Bayesian Estimation		::* Bayesian Estimation
	• Planning and Navigation		::* Planning and Navigation
	• Robot Coordination (maybe)		::* Robot Coordination (maybe)

	;Student Expectation		;Student Expectation
	• Expect moderate to heavy load – on average 10 hrs a week, sometimes more		::* Expect moderate to heavy load – on average 10 hrs a week, sometimes more
	• Learn the theory, do it in practice		::* Learn the theory, do it in practice
	• Math: Trigonometry, probability, CS theory		::* Math: Trigonometry, probability, CS theory
	• Programming: C/C++/Java/Python		::* Programming: C/C++/Java/Python
	• Grades: Please talk to me		::* Grades: Please talk to me
	• Will not change grades end of semester		::* Will not change grades end of semester
	• Plagiarism: Check with me/TA on what is ok and what is not		::* Plagiarism: Check with me/TA on what is ok and what is not

	;Class Emphasis		;Class Emphasis
	• Introduction to robots/robotics		::* Introduction to robots/robotics
	• Theory and practice – learn by doing		::* Theory and practice – learn by doing
	• Algorithms/tools that have applications on other CSE and related fields		::* Algorithms/tools that have applications on other CSE and related fields
	• Exciting times to learn about robots – have fun!		::* Exciting times to learn about robots – have fun!

	''' Computational implementation of mobile robot sensing, actuation, and control using Robot Operating System (ROS) '''		''' Computational implementation of mobile robot sensing, actuation, and control using Robot Operating System (ROS) '''

Mark at 04:16, 15 September 2015

2015-09-15T04:16:39Z

← Older revision		Revision as of 04:16, 15 September 2015
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	<ref name="ub_mae_course_descriptions">		<ref name="ub_mae_course_descriptions">
	Graduate Courses - UB Mechanical and Aerospace Engineering "Graduate Course Descriptions"; Department of Mechanical and Aerospace Engineering, University at Buffalo - SUNY;		Graduate Courses - UB Mechanical and Aerospace Engineering "Graduate Course Descriptions"; Department of Mechanical and Aerospace Engineering, University at Buffalo - SUNY;
	Fetched: September 2015; Source: [http://www.mae.buffalo.edu/graduate/course_descriptions.php]		Fetched: September 2015; Source: [http://www.mae.buffalo.edu/graduate/course_descriptions.php\|http://www.mae.buffalo.edu/graduate/course_descriptions.php]
	</ref>		</ref>
	Then, the major coursework is denoted by a title in '''bold-faced type''' following by a bullet list of key outcomes. The remainder of each course section provides a glimpse of the project. Finally, [[#Other Courses\|additional relevant coursework]] is listed along with course descriptions.		Then, the major coursework is denoted by a title in '''bold-faced type''' following by a bullet list of key outcomes. The remainder of each course section provides a glimpse of the project. Finally, [[#Other Courses\|additional relevant coursework]] is listed along with course descriptions.
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	MAE 501 Course Description;		MAE 501 Course Description;
	Professor Venkat Krovi;		Professor Venkat Krovi;
			Department of Mechanical and Aerospace Engineering, University at Buffalo - SUNY;
	Fall 2015		Fall 2015
	</ref>		</ref>
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	* Dynamics formulation by methods of, Newton-Euler, Euler-Lagrange, Hamilton		* Dynamics formulation by methods of, Newton-Euler, Euler-Lagrange, Hamilton
	* Emphasis on qualitative assessment of the anaytical equations of motion rather than diagnostic interpretation of computational/numerical simulation results		* Emphasis on qualitative assessment of the anaytical equations of motion rather than diagnostic interpretation of computational/numerical simulation results



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	* Curve and surface interpolation and aproximation		* Curve and surface interpolation and aproximation
	* Basic operations on parameterized geometric objects		* Basic operations on parameterized geometric objects



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	<!-- TODO -->		<!-- TODO -->
	Course description is currently unavailable.		Course description is currently unavailable.

	<ref>		<ref>
	Courses - UB Computer Science and Engineering "CSE Graduate Course Offerings"; Department of Computer Science and Engineering, University at Buffalo - SUNY;		Courses - UB Computer Science and Engineering "CSE Graduate Course Offerings"; Department of Computer Science and Engineering, University at Buffalo - SUNY;
	Fetched: September 2015;		Fetched: September 2015;
	Source: [http://www.cse.buffalo.edu/graduate/courses.php]		Source: [http://www.cse.buffalo.edu/graduate/courses.php\|http://www.cse.buffalo.edu/graduate/courses.php]
			</ref>

			The official course description is not live online. This may update in the future. The following has been taken from the lecture slides from the introductory class.
			<ref>
			CSE 468/568: Robotic Algorithms "Lecture 1: Intro";
			[http://www.cse.buffalo.edu/faculty/kdantu/\|Assistant Professor Karthik Dantu];
			Department of Computer Science and Engineering, University at Buffalo - SUNY;
			Spring 2015
	</ref>		</ref>

	~~This may update~~ in ~~the future.~~		;Class Outline
			• Robot Mobility
			• Legged/wheeled locomotion
			• Forward/inverse kinematics
			• Simple Control
			• Sensing/Perception
			• Ranging
			• Vision
			• Localization and Mapping
			• Bayesian Estimation
			• Planning and Navigation
			• Robot Coordination (maybe)

			;Student Expectation
			• Expect moderate to heavy load – on average 10 hrs a week, sometimes more
			• Learn the theory, do it in practice
			• Math: Trigonometry, probability, CS theory
			• Programming: C/C++/Java/Python
			• Grades: Please talk to me
			• Will not change grades end of semester
			• Plagiarism: Check with me/TA on what is ok and what is not

			;Class Emphasis
			• Introduction to robots/robotics
			• Theory and practice – learn by doing
			• Algorithms/tools that have applications on other CSE and related fields
			• Exciting times to learn about robots – have fun!

	''' Computational implementation of mobile robot sensing, actuation, and control using Robot Operating System (ROS) '''		''' Computational implementation of mobile robot sensing, actuation, and control using Robot Operating System (ROS) '''
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	Linear algebra, linear spaces and applications to ordinary differential equations, introduction to dynamical systems, bifurcations and chaos, Green's functions and boundary value problems, adjoint operators, alternative theorems, orthogonal expansions, Sturm - Liouville systems.		Linear algebra, linear spaces and applications to ordinary differential equations, introduction to dynamical systems, bifurcations and chaos, Green's functions and boundary value problems, adjoint operators, alternative theorems, orthogonal expansions, Sturm - Liouville systems.
	<ref name="ub_mae_course_descriptions" />		<ref name="ub_mae_course_descriptions" />

			=== MAE 501 (in progress) ===

			This coursework is ongoing and will be reported in the near future.

Mark at 04:07, 15 September 2015

2015-09-15T04:07:19Z

Mark at 04:05, 15 September 2015

2015-09-15T04:05:52Z

@@ Line 1: / Line 1: @@
 The main sections on this page outline graduate courses that contained a substantial project, analysis, or implementation component.
 == Overview ==
 ''' Development of a Home-Based Stroke Rehabilitation System on Mobile Electronic Consumer Devices '''
@@ Line 14: / Line 31: @@
 == Analytical Dynamics (MAE 562)==
 * Modeling, analysis, and design of dynamical mechanical systems in three dimensional space
@@ Line 22: / Line 42: @@
-== CAD Applications (MAE 577) ==
+== Computer-Aided Design Applications (MAE 577) ==
 * Comprehensive treatment of standard methodology in numerical representations of geometric objects in three dimensional space
@@ Line 32: / Line 55: @@
 == Robotic Algorithms (CSE 568) ==
 ''' Computational implementation of mobile robot sensing, actuation, and control using Robot Operating System (ROS) '''
@@ Line 41: / Line 76: @@
-== Linear Systems Analysis (MAE 571) ==
+== Systems Analysis 1 (MAE 571) ==
 ''' Linear Control of a Serial Robotic Manipulator '''
@@ Line 51: / Line 90: @@
 == Optimization in Engineering Design (MAE 550) ==
 ''' Optimal Path Planning in a Constrained Workspace for Serial Robotic Manipulator '''
@@ Line 61: / Line 104: @@
 == Other Courses ==
 [[Category:Academics]]

Mark at 05:07, 14 September 2015

2015-09-14T05:07:14Z

← Older revision		Revision as of 05:07, 14 September 2015
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	The main sections on this page outline graduate courses ~~in which I had performed some sort of semester~~ project.		The main sections on this page outline graduate courses that contained a substantial project, analysis, or implementation component.

	== Overview ==		== Overview ==
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	== Other Courses ==		== Other Courses ==


			[[Category:Academics]]

← Older revision		Revision as of 04:07, 15 September 2015
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	Review of Newtonian mechanics for systems of particles. Lagrange's equations of motion for conservative and nonconservative systems. Variational mechanics and Hamilton's principle. Application to various nonlinear problems and specifically to the two-body problem and celestial mechanics. The kinematics and dynamics of rigid bodies. Euler's equations of motion. Application to gyroscopic motion. Introduction to Hamilton's equations of motion. The linearized theory of small oscillations and associated matrix formulations.		Review of Newtonian mechanics for systems of particles. Lagrange's equations of motion for conservative and nonconservative systems. Variational mechanics and Hamilton's principle. Application to various nonlinear problems and specifically to the two-body problem and celestial mechanics. The kinematics and dynamics of rigid bodies. Euler's equations of motion. Application to gyroscopic motion. Introduction to Hamilton's equations of motion. The linearized theory of small oscillations and associated matrix formulations.
	<ref name="ub_mae_course_descriptions">		<ref name="ub_mae_course_descriptions" />

	* Modeling, analysis, and design of dynamical mechanical systems in three dimensional space		* Modeling, analysis, and design of dynamical mechanical systems in three dimensional space
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	Engineering design and analysis using state-of-the-art computer software tools. Emphasis on the overall product development cycle and simultaneous engineering, including conceptual design, variational geometry, representation, creation and manipulation of solid models, assembly design integrated kinematic and finite element analyses, re-design, geometric dimensioning and tolerancing, and NC programming.		Engineering design and analysis using state-of-the-art computer software tools. Emphasis on the overall product development cycle and simultaneous engineering, including conceptual design, variational geometry, representation, creation and manipulation of solid models, assembly design integrated kinematic and finite element analyses, re-design, geometric dimensioning and tolerancing, and NC programming.
	<ref name="ub_mae_course_descriptions">		<ref name="ub_mae_course_descriptions" />

	* Comprehensive treatment of standard methodology in numerical representations of geometric objects in three dimensional space		* Comprehensive treatment of standard methodology in numerical representations of geometric objects in three dimensional space
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	Development of mathematical techniques for the analysis of systems in the time domain. Introduction to state space concepts. Review of matrices and vectors. Vector spaces. Coordinate transformation. Jordan canonical form. State-space representation of control systems. Solutions of state space equations. Controllability and observability. Feedback control structures.		Development of mathematical techniques for the analysis of systems in the time domain. Introduction to state space concepts. Review of matrices and vectors. Vector spaces. Coordinate transformation. Jordan canonical form. State-space representation of control systems. Solutions of state space equations. Controllability and observability. Feedback control structures.
	<ref name="ub_mae_course_descriptions">		<ref name="ub_mae_course_descriptions" />

	''' Linear Control of a Serial Robotic Manipulator '''		''' Linear Control of a Serial Robotic Manipulator '''
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	Optimization techniques with applications in various aspects of engineering design. Concepts of design variables, constraints, objective functions, penalty functions, Lagrange multipliers. Techniques for solving constrained and unconstrained optimization problems: classical approaches, steepest descent, conjugate directions, conjugate gradient, controlled random searches, etc. Discussion of generalized reduced gradient, sequential linear programming, and recursive quadratic programming strategies. Computer implementation of optimization schemes. Applications and examples in the design of engineering components and systems.		Optimization techniques with applications in various aspects of engineering design. Concepts of design variables, constraints, objective functions, penalty functions, Lagrange multipliers. Techniques for solving constrained and unconstrained optimization problems: classical approaches, steepest descent, conjugate directions, conjugate gradient, controlled random searches, etc. Discussion of generalized reduced gradient, sequential linear programming, and recursive quadratic programming strategies. Computer implementation of optimization schemes. Applications and examples in the design of engineering components and systems.
	<ref name="ub_mae_course_descriptions">		<ref name="ub_mae_course_descriptions" />

	''' Optimal Path Planning in a Constrained Workspace for Serial Robotic Manipulator '''		''' Optimal Path Planning in a Constrained Workspace for Serial Robotic Manipulator '''
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	Linear algebra, linear spaces and applications to ordinary differential equations, introduction to dynamical systems, bifurcations and chaos, Green's functions and boundary value problems, adjoint operators, alternative theorems, orthogonal expansions, Sturm - Liouville systems.		Linear algebra, linear spaces and applications to ordinary differential equations, introduction to dynamical systems, bifurcations and chaos, Green's functions and boundary value problems, adjoint operators, alternative theorems, orthogonal expansions, Sturm - Liouville systems.
	<ref name="ub_mae_course_descriptions">		<ref name="ub_mae_course_descriptions" />