C3OIT PROBABILITY AND STATISTICS ( 2007 admission Syllabus ) Third Semester
Module 1 (21 hrs)
Basic statistical concepts, Types of variables, population and sample, Parameter and
statistic,
Census versus sampling, Methods of sampling- Random and non random sampling methods.
Frequency distributions- measures of central tendency, m easui-es of dispersion, morn ents, skeess and kurtosis.
Correlation and Regression analysis- Types of Correlation, Methods of studying simple correlation, properties of correlation coefficient.
Module 2(16 hrs)
Different approaches to probability, conditional probability, Addition and multiplication theorems, Baye’ s theorem, simple problems.
Random variables and probability distribution- discrete and continuous- distribution function and its properties(without proof) Extension to bivariate case (elementary concept only)
Module
3(16
hrs)
Expectation and its properties, Mean, variance and moments in terms of expectation, Moment Generation Function and characteristic function simple problem, Standard distribution and statistical inference.
Standard probability distribution- Binomial, Poisson, Uniform and Normal- mean, variance and M.G.F.
—
problems relating to practical applications.
Module 4(11
hrs)
Central Limit Theorem (without proof) and its applications, Sampling distributions and standard error(concept only), Distribution of the sample mean,
t, X2,
and F statistic- definition and properties (without proof)
Estimation- Concept of Point and Interval estimation- Point estimate and its properties Test of signilicance- Elementary ideas and simple problems.
Text Book
Probability and Statistics Schaiini’s outline Series.
References
1. Hogg RN. Craig A.L.
,
Introduction to Mathematical Statistica, American Publishing Co. Pvt. Ltd.
2. Yulg, U.G., Kendoll, M.G; An Introduction to Theory of Statistics, Chailes Griffin & Co. Ltd
3. Draper N.A.,Srnjtli H,; Applied Regression Analysis, John Wiley & Sons, Inc.
4. S.P. Gupta ,Statistical Methods.
5. William Mendenhall, Robert J Beaver, BarbaraM Beaver, Introduction to Probability and Statistics, Thomson 2007.
Previous year questions.Mahatma Gandhi University.
Goto : https://sites.google.com/site/mgkottayam/ Previous year questions. Mahatma Gandhi University - MGU Kottayam Previous year question papers. BSc Computer Science. 2007 onwards 2010
Monday, 25 November 2013
PARALLEL PROCESSING Question Paper
G 9692
1. What is a multiprocessor system?
2. Write a note on linear pipelining.
3. What are interconnection networks?
4. What is a multiprocessor operating system?
5. What are data flow graphs?
6. List two applications of parallel processing.
7.
How can you achieve parallelism in uniprocessor systems?
8. Describe the working of instruction pipelines.
9. Explain the structure of multiprocessor system.
10. Discuss the multiprocessor programming.
11. What are the advantages of data flow graphs?
12. Explain the inter process communication in multiprocessor systems.
13. Describe Feng’s classification of parallel computers.
14. Explain vector processing with an example.
15. Discuss an algorithm for array processors.
16. Explain the architecture of data flow computers.
B.Sc. (COMPUTER SCIENCE) DEGREE EXAMINATION, JULY 2013
Sixth Semester
PARALLEL PROCESSING
(2007 and 2008 Admissions—Supplementary)
Time Three Hours Maximum : 75 Marks
Part A
Answer any
five
questions.
Each question carries
3
marks.
2. Write a note on linear pipelining.
3. What are interconnection networks?
4. What is a multiprocessor operating system?
5. What are data flow graphs?
6. List two applications of parallel processing.
(5
x
3= 15 marks)
Part B
Answer any
four
questions.
Each question carries
5
marks.
8. Describe the working of instruction pipelines.
9. Explain the structure of multiprocessor system.
10. Discuss the multiprocessor programming.
11. What are the advantages of data flow graphs?
12. Explain the inter process communication in multiprocessor systems.
(4 x 5
=
20 marks)
Part C
Answer any
two
questions.
Each question carries
20
marks.
14. Explain vector processing with an example.
15. Discuss an algorithm for array processors.
16. Explain the architecture of data flow computers.
[2 x 20
=
40 marks]
Monday, 15 July 2013
Short Note Based on MG University Computer Graphics and Multimedia Syllabus B.Sc Computer Science
Compression
Data compression, source coding,
or bit-rate reduction
-Lossless compression
--Reduces bits by identifying and
eliminating statistical redundancy
-Lossy compression
--Dropping nonessential detail
RLE in Text and image
-Run-length encoding
-
stored as a single data value and count, rather than as the original run
-eg:
12W1B12W3B24
- lossless data
compression
- used by bitmap and jpeg.
Lempel–Ziv–Welch (LZW)
- universal lossless data
compression algorithm
- gif, tiff, pdf
- Encoding
--A high level view of the encoding
algorithm is shown here:
1.Intlize the
dictnry 2 contain al strngs f lngth 1. 2.Fnd
d lngst strng W in the dctinry tht matchs d current i/p.
3.Emit the dictnry
index for W to o/p & remove W from the i/p. 4.Add W folowd by d next symbl in d i/p 2 d dictnry. 5.Go 2 Step 2.
Huffman's Coding
-
is an entropy encoding algorithm usd 4 lossless data compression
- The technique works by creating a binary tree of nodes. These can be stored in a
regular array, the size of which depends on the
number of symbols. A node can be
either a leaf node or an internal node. Initially, all nodes are leaf
nodes, which contain the symbol itself, the weight of the symbol and optionally, a link
to a parent node which makes it easy to read the
code starting from a leaf node. Internal nodes contain symbol weight, links to two child nodes and the optional link to a parent node. As a common convention, bit '0'
represents following the left child and bit '1' represents following the right
child. A finished tree has up to leaf nodes and internal nodes. A Huffman tree that omits unused symbols produces the
most optimal code lengths.
Graphics Interchange Format
-widespread usage World Wide Web due to its wide support and portability.
- upport up to 8 bits per pixel
- 256 distinct
colors chosen from the 24-bit RGB color space
-LZW Lossless compression
-usg ,anim, ow-color sprite data for games
JPEG
-JPEG uses a lossy form of compression based on the discrete cosine transform (DCT).
-extension .jpg and .jpeg, though .jpe, .jfif and .jif
Software for animation : Presentation , Application(), Authoring, Animation, Web browser, Html
editors.
MORPHING
Morphing is a special technique that
creates a smooth, controlled transformation of one image into another. The
morphing effect is widely used for various tasks ranging from generation of
fancy special effects, smoothing transitions between video frames to funny
warping of faces and mixing parent's photos for prediction of how their child
will look like . A classic example of this sort of transformation is shown in
the well-known Black Or White video clip by Michael Jackson, where the faces of
different people change one into another.
Explore Different Types of Animation
-2D, 3D and Stop Motion
-Any way to manipulate a sequence of
images, frame by frame, is considered a Type of Animation. All animations falls into one of these three categories.
-2D animation
The term "2D" refers to
animation that is created using two dimensional drawings.
-3D animation
"3D" refers to Computer
Generated Images (CGI) that create the illusion of three dimensional space with
great accuracy.
-Stop Motion Types of animation
Everything that is shot live, frame by
frame, in front or under a camera is called Stop Motion or "Stop
Frame" Animation. Clay animations are usually the first thing that comes
to mind in this category.
Pre-Production
Stage
1: planning
•poor planning results in a loss
of money, •with poor planning an
inferior video is created
•Deliverables:, •Proposal
-explains the content and identifies the target audience, •Storyboard -graphic
organizer of main scenes, •Script -dialogue, narration, audio instructions and
visual instructions
Production
Stage 2: set your stage and
shoot the footage
•Consider:
•framing
and composition
•lighting
requirements
•audio,
•camera techniques
•lead in and lead out
Post-Production
•Stage
3: edit and enhance your footage
•select
and trim clips
•add:, •transitions,
•audio(music,
voice over, sound effects), •titles and credits,
•text,credits,
graphics and animation
•special effects (filters, green
screen)
•render
your video, •publish it
Raster-Scan Displays
The most common type of graphics
monitor employing a CRT is the raster-scan display, based on television
technology. In a raster-scan system, the electron beam is swept across the
screen, one row at a time from top to bottom. As the electron beam moves across
each row, the beam intensity is turned on and off to create a pattern of
illuminated spots. Picture definition is stored in a memory area called the
refresh buffer or frame buffer. Each screen point is referred to as a pixel. The
capability of a raster-scan system to store intensity information for each
screen point makes it well suited for the realistic display of scenes
containing subtle shading and color patterns.
Random-Scan Displays
a CRT has the electron beam directed only to
the parts of the screen where a picture is to be drawn. These monitors draw a
picture one line at a time and for this reason are also referred
to as vector displays.
Random-scan systems are designed for line drawing applications and cannot
display realistic shaded scenes.
DDA Algorithm
The digital differential analyzer (DDA) is a
scan-conversion line algorithm. This algorithm is summarized in the following
procedure, which accepts as
input the two endpoint pixel positions.
Horizontal and vertical differences between the endpoint positions are assigned
to parameters dx and dy. The difference with the greater magnitude determines
the value of parameter steps. Starting with pixel position (xa, ya),
we determine the offset needed at each step to generate the next pixel position
along the line path. We loop through this process steps times. If the magnitude
of dx is greater than the magnitude of dy and xa is less than xb, the values of
the increments in the x and y directions are 1 and m, respectively. If the
greater change is in the x direction, but xa is greater than xb, then the
decrements - 1 and -m are used to generate each new point on the line. Otherwise,
we use a unit increment (or decrement) in they direction and an x increment
(or decrement) of l / m .
Bresenham's
Line Algorithm
An accurate and efficient raster
line-generating algorithm, developed by Bresenham, scan converts lines using
only incrementa1 integer calculations that can be adapted to display circles
and other curves.
LINE ATTRIBUTES
Basic attributes of a straight line segment are its type, its width, and
its color. Various attribute specifications.
-Line Type
Possible selections for the line-type attribute include solid lines,
dashed lines, and dotted lines.
-Line Width
Implementation of line- width options depends on the capabilities of the
output device.
-Pen and Brush Options
With some packages, lines can be displayed with pen or brush selections.
Options in this category include shape, size, and pattern.
-Line Color
When a system provides color (or intensity) options, a parameter giving
the current color index is included in the list of system-attribute values.
AREA-FILL ATTRIBUTES
Options for filling a defined region include a choice between a solid
color or a patterned fill.
-Fill Styles
Areas are displayed with three basic fill styles: hollow with a color
border, filled
with a solid color, or Wed with a specified pattern or design.
-Pattern fill
-Soft fill : Modified
boundary-fill and flood-filI procedures that are applied to repaint areas so
that the fill color is combined with the background colors are referred to as soft-fill
or tint-fill algorithms.
CHARACTER TEXT ATTRIBUTES
-Font, size, color, and orientation
- bold face, italics, underline
Transformations
applying translation, rotation, and scaling parameters to reposition and
resize two-dimensional objects.
-Translation
A translation is applied to an object by repositioning it along a
straight-line path from one coordinate location to another.
-Rotation
A two-dimensional rotation is applied to an object by repositioning it
along a circular path in the xy plane.
-Scaling
A scaling transformation alters the size of an object.
LOGICAL CLASSIFICATION OF INPUT DEVICES
LOCATOR - a
device for specifying coordinate position ( x , y)
STROKE- a
device for specifying a series of coordinate positions
STRING- a
device for specifying text input( Physical Keyboard)
VALUATOR-a
device for specifying scalar value:
CHOICE-a device
for selecting menu options(with mouse)
PICK-a device
for selecting picture components(pick widow)
-LOCATOR:
mouse, joystick, trackball, space ball, thumbwheels, dials, a digitizer
stylus or hand cursor, or some other cursor-positioning
device.
-STROKE:
This class of logical devices is used to input a sequence of coordinate
positions. Stroke-device input is equivalent to multiple calls to a locator
device. The set of input points is often used to display line sections.
---VALUATOR -
scalar values are stores. such rotation angle.
Tuesday, 9 July 2013
PARALLEL PROCESSING MG university question paper
G 7155 (Pages :2) Reg.
Name...
B.Sc. (COMPUTER SCIENCE) DEGREE EXAMINATION, APRIL
2010
Sixth Semester
PARALLEL PROCESSING
(New scheme—2007 admissions)
Time : Three Hours Maximum: 75 Marks
Part A
Answer any five questions.
Each question carries 3 marks.
Sixth Semester
PARALLEL PROCESSING
(New scheme—2007 admissions)
Time : Three Hours Maximum: 75 Marks
Part A
Answer any five questions.
Each question carries 3 marks.
1. What is the purpose of parallel processing?
2. Mention three application areas of vector processing.
3. What is a super computer?
4. What is SIMD?
5. What is a tightly coupled multiprocessor?
6. What is a data flow computer?
2. Mention three application areas of vector processing.
3. What is a super computer?
4. What is SIMD?
5. What is a tightly coupled multiprocessor?
6. What is a data flow computer?
(5x3=15marks)
Part B
Answer any four questions.
Each question carries 5 marks.
Answer any four questions.
Each question carries 5 marks.
7. Explain the extent of parallelism in uniprocessor systems.
8. Write note on instruction pipelines.
9. Describe the characteristics of vector processing.
10. Discuss the structure of an array processor.
11. How can you arrange processors in a multiprocessor system?
12. Write a note on data flow graph.
8. Write note on instruction pipelines.
9. Describe the characteristics of vector processing.
10. Discuss the structure of an array processor.
11. How can you arrange processors in a multiprocessor system?
12. Write a note on data flow graph.
(4 X 5 = 20 marks)
Turn over
Turn over
2 G7155
Part C
Answer any two questions.
Each question carries 20 marks.
Answer any two questions.
Each question carries 20 marks.
13 (a) Describe
the applications of parallel processing. (10 marks)
(b) Explain Flynn’s classification. (10 marks)
14 (a) What are the principles that should be followed to de8ign a pipelined processors ? (10 marks)
(b) Discuss the technique of vector processing with an example. (10 marks)
15 (a) Explain an algorithm related to array processors. (10 marks)
(b) Write a note on multiprocessor operating system. (10 marks)
16 (a) Describe the architecture of dataflow computers. (12 marks)
(b) Write short note on data flow languages. (8 marks)
(b) Explain Flynn’s classification. (10 marks)
14 (a) What are the principles that should be followed to de8ign a pipelined processors ? (10 marks)
(b) Discuss the technique of vector processing with an example. (10 marks)
15 (a) Explain an algorithm related to array processors. (10 marks)
(b) Write a note on multiprocessor operating system. (10 marks)
16 (a) Describe the architecture of dataflow computers. (12 marks)
(b) Write short note on data flow languages. (8 marks)
[2 x 20 = 40 marks]
sixth semester question paper
Parallel processing previous year model question paper
Mg university kottayam.
Sunday, 7 July 2013
BUSINESS LAWS - B.Com. DEGREE EXAMINATION, MARCH 2011
G 6003 (Pages :2) Reg.
Name
B.Com. DEGREE EXAMINATION, MARCH 2011
Faculty of Commerce
Part III—Commerce (Main)
Paper III—BUSINESS LAWS
Time : Three Hours Maximum: 80 Marks
Answers may be written either in English or in Malayalam.
Part A
Answer all questions in not exceeding 3 or 4 sentences.
Each question carries 2 marks.
1. What is meant by voidable contract?
2. Define Acceptance.
3. What is “Consideration”?
4. Define Pledge.
5. What is meant by warranty?
. Define a company.
7. State three purposes of Pollution Control Act.
8. What is “minutes”?
9. Define proxy.
10.What
is meant by compulsory winding up?
(l0x 2=20 marks)
Part
B
Answer any six questions in not exceeding one page.
Each question carries 5 marks.
Answer any six questions in not exceeding one page.
Each question carries 5 marks.
11.Define
coercion. What are the essential characteristics of coercion?
12. Examine the remedies for breach of contract.
13. List the rights of surety.
14. Enumerate the duties of a bailor.
15.Write a note on Articles of Association.
16. List any ten contents of prospectus of a company.
17.When the membership can be terminated by a company?
18. Write note on Consumer Protection Act.
12. Examine the remedies for breach of contract.
13. List the rights of surety.
14. Enumerate the duties of a bailor.
15.Write a note on Articles of Association.
16. List any ten contents of prospectus of a company.
17.When the membership can be terminated by a company?
18. Write note on Consumer Protection Act.
(6 x 5 = 30
marks)
Turn
over
2 G6003
Part C
Answer any three questions in not exceeding three pages.
Each question carries 10 marks.
19.Define Contract. Explain the essentials of a valid contract.
20. How an agency can be created ? Explain.
21. Enumerate the. rights of seller and buyer as per sale of Goods Act.
22. Explain the
clauses of Memorandum of Association.
23. Explain various kinds of company meetings.
23. Explain various kinds of company meetings.
(3 x 10 = 30 marks)
Friday, 10 May 2013
Sunday, 21 April 2013
Core Course—BIOSTATISTICS APRIL 2012
mg university previous year question paper goto https://sites.google.com/site/mgkottayam/
Name…………….……..
B.Sc. DEGREE (C.B.C.S.S.) EXAMINATION, APRIL 2012
Second Semester Core Course—BIOSTATISTICS
[For B.Sc. Botany and Biotechnology (Double Main)]
Time : Three Hours Maximum Weight : 25
Part A Answer all questions.
Weight 1 each for a bunch of 4 questions.
1 Which of the following is primary data ?
(a) Published data ..(b) Personal interview
(c) Private publication. (d) Journals and newspapers.
2 Mode is:
(a) Middle most value. (b) Most frequent value.
(c) Least frequent value. (d) None of these.
3 If the coefficient of correlation is zero the slope of a linear regression line will be:
(a) Positive. (b) Negative.
(c) Positive or negative. (d) None of these.
4 The point of intersection of the less than and the more than ‘ogive’ corresponds to;
(a) The mean. (b) The geometric mean. (c) The median. (d) None of the above.
E 3179 (Pages 3) Reg. No . ………..
Name…………….……..
B.Sc. DEGREE (C.B.C.S.S.) EXAMINATION, APRIL 2012
Second Semester Core Course—BIOSTATISTICS
[For B.Sc. Botany and Biotechnology (Double Main)]
Time : Three Hours Maximum Weight : 25
Part A Answer all questions.
Weight 1 each for a bunch of 4 questions.
1 Which of the following is primary data ?
(a) Published data ..(b) Personal interview
(c) Private publication. (d) Journals and newspapers.
2 Mode is:
(a) Middle most value. (b) Most frequent value.
(c) Least frequent value. (d) None of these.
3 If the coefficient of correlation is zero the slope of a linear regression line will be:
(a) Positive. (b) Negative.
(c) Positive or negative. (d) None of these.
4 The point of intersection of the less than and the more than ‘ogive’ corresponds to;
(a) The mean. (b) The geometric mean. (c) The median. (d) None of the above.
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