Section Table Generator Help
The Section Table Generator is a World-Wide Web tool that allows users to access information
about GVSU courses and sections over the internet.
Using the table generator, getting the information you want about GVSU section offerings is a
simple drag-and drop process, but the tool has the flexibility to help you get exactly the
data you need without a lot of unnecessary information.
The table generator consists of two principal sets of components:
- About 25 colored boxes which represent the section characteristics that can appear in your
table ("Pods");
- A gray table diagram (at the bottom of the page), with white boxes representing the
ways the data can appear in the table ("Slots").
You design your table by choosing the pods you want and putting them into the slots where
you want them.
For example, if you put the Section Location pod into one of the of the slots labeled "Row",
it would specify a table that looks something like this:
|
| Number of Sections |
|---|
| Section Location |
| ALLENDALE CAMPUS | 2748 |
| GRAND RAPIDS CAMPUS | 897 |
| MUSKEGON | 29 |
| OTHER GRAND RAPIDS LOCATIONS | 10 |
| HOLLAND | 81 |
| OUT OF COUNTRY | 9 |
| OTHER MICHIGAN LOCATIONS | 68 |
| TRAVERSE CITY | 38 |
| OUT OF STATE | 2 |
| Total | 3882 |
The table shows the course sections taught at each of GVSU's campuses (and at some other
locations), with the locations listed down the left side of the table. (You specified Section
Location as a "Row" variable, so the table has a row for each location.) If you put
Section Location in one of the slots labeled "Column" instead, the table would look
like the following, with the locations listed across the top of the table:
|
| Section Location |
ALLENDALE CAMPUS |
GRAND RAPIDS CAMPUS |
MUSKEGON |
OTHER GRAND RAPIDS LOCATIONS |
HOLLAND |
OUT OF COUNTRY |
OTHER MICHIGAN LOCATIONS |
TRAVERSE CITY |
OUT OF STATE |
Total |
| Total |
2748 | 897 | 29 | 10 | 81 |
9 | 68 | 38 | 2 | 3882 |
|---|
When you've designed your table the way you want it to appear, click the "Submit Request"
button, and your table will be created exactly as you've requested, and you can read it in your
browser, print it, go back and modify the specifications, or open it up as a spreadsheet.
The parts of the window:
There are 3 general parts to the table generator page:
- The available pods -- Here you'll find all of the variables you can use to design your table.
- The table diagram -- This is where you create your table layout. The white boxes are empty slots.
- Help and Table options -- The buttons on the left side of the page allow you to (a) access this help
page, (b) specify whether you want an HTML table or a Microsoft Excel spreadsheet,
(c) save or restore a pre-defined table layout, (d) submit your table request, or
(e) reset all parameters to their initial values.
|
 |
How to move a pod:
The easiest way to move a pod is just to click it and drag it to where you want it to be. Use
the left mouse button to click and drag the pod, and release the button over the desired location
to drop the pod. Pods can only be dropped in appropriate slots or in their "home" location. If
you drop a pod anywhere else on the page, it will return to its "home" location. The home location
is the space reserved for the pod in the list of available pods (the upper 2/3 of the page).
You can also move a pod by using its options menu. Left click on the pod to view the list of
actions you can take with the variable. Among the options listed will be a list of places where the
pod can be moved. These options will include some, but not all, of the following:
- Make it a COLUMN variable -- puts the pod in the highest available "Column" slot.
- Make it a ROW variable -- puts the pod in the highest available "Row" slot.
- Make it a PAGE variable -- puts the pod in the "Page" slot.
- Make it a DATA variable -- puts the pod in the highest available "Data" slot.
- Promote it -- Moves the variable to the next higher slot within the same table dimension.
For example, a pod in the second "Row" slot can be promoted to the first "Row" slot.
- Demote it -- Moves the variable to the next lower slot within the same table dimension.
For example, a pod in the first "Row" slot can be demoted to the second "Row" slot.
- Remove it from the table -- sends the pod back to its "home" location.
For information about the difference between higher and lower slots within a table dimension, see the
section on slot order below.
If you move a pod (either by drag-and-drop or the pod options menu) to a slot that is already
occupied by another pod, the pods will trade places, with the displaced pod going to the place where
the pod you moved started. (If the pod you moved was in its "home" location, the displaced pod will
go to its own home, not to the exact spot where the new pod was located.) If the
displaced pod is not allowed to occupy the slot from which you moved the new pod, the displaced pod
will go to its home location instead.
Other things you can do with a pod:
In addition to moving a pod into, around in, or out of the table, there are several
other useful actions available from the pod options menu. Not all options are available
for all pods, and some options are context-sensitive -- they only appear on the options
menu when the situation makes them appropriate.
The following actions may be available from the options menu:
The parts of the table (the slots)
A table can show your information in up to four different ways: across the columns
of the table; down the table in rows; broken up into many different table pages;
or as the data element summarized within the table's individual cells. The
following example illustrates the 4 types:
Data = Number of Sections
Course Prefix = FRE
|
| Course Level |
Lower-division |
Upper-division |
Total |
| Instructor Rank |
| Assistant Professor |
4 | 6 | 10 |
| Associate Professor |
1 | 2 | 3 |
| Total |
5 | 8 | 13 |
|
|
In the tables to the left, Course Level is laid out as a "Column"
variable, while Instructor Rank is shown as a "Row" variable. Course
Prefix is a "Page" variable here, meaning that a separate table is created for each
subject area. Finally, the "Data" element for these tables is Number of Sections
, so each cell shows the number of sections with the characteristics described by the
"Column", "Row", and "Page" variables. A table with two data elements, Number of
Sections and Student Credit Hours, is shown below. In it, the data
elements are arrayed horizontally, as if they were values of a "Column" variable. |
Data = Number of Sections
Course Prefix = GER
|
| Course Level |
Lower-division |
Upper-division |
Total |
| Instructor Rank |
| Assistant Professor |
2 | 1 | 3 |
| Professor |
1 | 5 | 6 |
| Total |
3 | 6 | 9 |
|
Course Prefix = FRE
|
| Data Type |
Number of Sections |
Student Credit Hours |
| Instructor Rank |
| Assistant Professor |
10 | 446 |
| Associate Professor |
3 | 142 |
| Total |
13 | 588 |
|
The Table Generator allows you to select up to 2 column variables and up to 2 row
variables. You can select one page variable and up to 4 data elements.
If you select more than one data element, a new pod, Data Variables, will appear
in your table diagram. This pod is a placeholder that controls how the multiple data
variables will be dispayed in your table. You can move it around in your table (to other
"Column", "Row", or "Page" slots), but the only way to remove it from the table is to
remove "Data" variables until only one "Data" slot is occupied, at which time the Data
Variables pod will disappear. The Data Variables pod will initially be placed
in an empty "Column", "Row", or "Page" slot if possible. If all of those slots are filled,
Data Variables will displace the pod in the second "Column" slot.
The following tables illustrate effects of different placements of Data Variables:
- Data Variables in a "Column" slot
Course Prefix = FRE
|
| Data Type |
Number of Sections |
Student Credit Hours |
| Instructor Rank |
| Assistant Professor |
10 | 446 |
| Associate Professor |
3 | 142 |
| Total |
13 | 588 |
- Data Variables in a "Row" slot
Course Prefix =
FRE
|
| Instructor Rank |
Assistant Professor | Associate Professor | Total |
| Data Type |
| Number of Sections |
10 | 3 | 13 |
| Student Credit Hours |
446 | 142 | 588 |
- Data Variables in the "Page" slot
Data Type = Number of Sections
|
| Instructor Rank |
Assistant Professor | Associate Professor | Professor | Total |
| Course Prefix |
| FRE | 10 | 3 | | 13 |
| GER | 3 | | 6 | 9 |
| Total | 13 | 3 | 6 | 22 |
Data Type = Student Credit Hours
|
| Instructor Rank |
Assistant Professor | Associate Professor | Professor | Total |
| Course Prefix |
| FRE | 446 | 142 | | 588 |
| GER | 151 | | 183 | 334 |
| Total | 597 | 142 | 183 | 922 |
The significance of order within table dimensions
With both the column and row elements, you have the option of nesting variables. Nesting a
variable means that the different levels of the second variable will be shown for each level of the
first variable. For the "Column" slots, a variable in the right-hand slot will be nested within
the variable in the left-hand slot. For "Row" variables, the variable in the lower slot is nested
within the variable in the upper slot. In both cases, if there is only one variable specified for that
particular dimension (that is, only one "Column" variable or only one "Row" variable), it makes no
difference which of the two slots it occupies.
The tables below give examples of nested "Row" variables. In the first table, Course Level values
are nested within Night/Weekend categories, while the second table has Night/Weekend nested within
Course Level. Note that the same data are displayed either way, although the presentation differs
slightly.
|
| Number of Sections |
| Night / Weekend |
Course Level |
| Evening and Weekend |
Undergraduate | 3 |
| Graduate | 24 |
| Total | 27 |
| No Evening or Weekend |
Undergraduate | 2817 |
| Graduate | 449 |
| Total | 3266 |
| Evening |
Undergraduate | 382 |
| Graduate | 174 |
| Total | 556 |
| Weekend |
Undergraduate | 5 |
| Graduate | 28 |
| Total | 33 |
| Total |
Undergraduate | 3207 |
| Graduate | 675 |
| Total | 3882 |
|
|
| Number of Sections |
| Course Level |
Night / Weekend |
| Undergraduate |
Evening and Weekend | 3 |
| No Evening or Weekend | 2817 |
| Evening | 382 |
| Weekend | 5 |
| Total | 3207 |
| Graduate |
Evening and Weekend | 24 |
| No Evening or Weekend | 449 |
| Evening | 174 |
| Weekend | 28 |
| Total | 675 |
| Total |
Evening and Weekend | 27 |
| No Evening or Weekend | 3266 |
| Evening | 556 |
| Weekend | 33 |
| Total | 3882 |
|
For "Data" variables, slot order only affects the order in which the types of summary data
appear. For example, the first table below has Number of Sections before Number of Seats,
while the second table has their positions reversed.
| Data Type |
Number of Sections | Number of Seats |
| Course Level |
| Undergraduate | 3491 | 103920 |
| Graduate | 666 | 14255 |
| Total | 4157 | 118175 |
|
| Data Type |
Number of Seats | Number of Sections |
| Course Level |
| Undergraduate | 103920 | 3491 |
| Graduate | 14255 | 666 |
| Total | 118175 | 4157 |
|
Table Layout Hints
As a rule, you should make
your tables as uncomplicated as possible. The more variables you add to the table,
the larger and more unwieldy your table becomes. At the extremes, your table can
become so large that it taxes our server and slows your web browser to a crawl. Here
are some hints for laying out tables that will give you the information you want without
tons of unwanted data:
- Only use variables that you actually need.
- Use record selection to trim the amount of data your table presents.
- If you use variables with lots of different values (like SECTION ID or INSTRUCTOR), use them
as row variables, since row variables take up much less space on your screen or page than
column or page variables.
Record selection:
By using the pods' Record Selection windows, you can modify your table request to only include
information about the sections that are of interest to you, For example, you can create a table
of only Marketing sections, or only undergraduate courses, or sections offered on-line.
You can access the Record Selection window for a variable by choosing "Use it for record selection"
from the pod's options menu. Note that a variable does not need to be part of your table layout
to be used for record selection.
The Record Selection menu will take one of three forms. For continuous variables, you are asked to
designate a range of values to include (or exclude); for variables with discrete values you are given
a selection list of possible values; for some variables containing text data, you provide a text string
(with wild cards) to compare to data values.
Selecting a range:
 |
To select a range of values, simply enter the lower and upper bounds of the range in the appropriate
boxes in the selection window. The default contents of the text boxes, "Low" and "High", are special
values which can be used to create open-ended ranges. For example, "Low" to "50" is how you would select
all values less than or equal to 50. (Note that selection ranges include both their lower and upper
bounds.)
You also have the option of excluding the values in the range (and keeping all others). To do this,
select "Exclude" instead of "Include" in the first selection box. |
Selecting specific values:
 |
To make a single selection from the drop-down list, just click the desired value. To make multiple
selections, select the first value by clicking it, then make subsequent selections by holding down the
Ctrl key and clicking the additional values. |
Text string matching
 |
Type as much of the text value as you want. Use the ? and * wildcard characters to represent unknown characters.
- ? represents any single letter, numeral, or symbol (including space).
- * represents 0 or more letters, numerals, or symbols (including spaces).
Note that a trailing * is presumed. That is, if you type "Clark" in the selection window for INSTRUCTOR
you might get results for people named Clarkson as well as those named Clark.
Examples:
| Smith, C |
Smith, Calvin
Smith, Carl
Smith, Carla
Smith, Carol
Smith, Charles
Smith, Cheryl
Smith, Cristine
|
| Smith, Ch |
Smith, Charles
Smith, Cheryl
|
| Smith, C*r |
Smith, Carl
Smith, Carla
Smith, Carol
Smith, Charles
Smith, Cheryl
Smith, Cristine
|
| Smith, C?r |
Smith, Carl
Smith, Carla
Smith, Carol
|
| Smith, Carl |
Smith, Carl
Smith, Carla
|
| Smith, Carl? |
Smith, Carla
|
|
All of the text-matching selection windows are case-insensitive, meaning that capital letters will
be matched to their lower-case counterparts and vice versa. Additional information about text-matching
is available in the appropriate data dictionary entries. |
Applying your selection
When you have designated your selection criteria, click the "Done" button. The pod for which
you just created selection criteria will now have asterisks (*) in its upper corners as a visual
reminder that you have made exclusions. (Note that Term always has this appearance. See
below for an explanation.)
If you specify selection criteria for more than one variable, those criteria are compounded --
sections must meet all selection criteria to be included in the table. For
example, if you select undergraduate courses under Course Level and "SCH OF COMMUNICATIONS' for
Department you will get data only for sections that are at the undergraduate level AND offered by
Commmunication. (In logic terminology, you're making "and" operations, not "or" operations.) With these
selections you could get the following table showing where School of Communication's various types of
sections have been offered:
|
| Section Location |
ALLENDALE CAMPUS | GRAND RAPIDS CAMPUS |
HOLLAND | Total |
| Course Prefix |
| CAP | 35 | 9 | | 44 |
| CBR | 23 | 1 | | 24 |
| CFV | 34 | | | 34 |
| CJR | 21 | | | 21 |
| COM | 64 | 8 | 6 | 78 |
| CPH | 32 | | | 32 |
| CTH | 25 | 1 | | 26 |
| Total | 234 | 19 | 6 | 259 |
To remind you that your table shows a subset of GVSU sections rather than the entire
population, there will be a small extra table at the end of each report that summarizes the
selection criteria you submitted. For the example above, the summary table looks like this:
Summary of Record Selection Criteria
| Characteristic | Selected Values |
Term | Fall 2004 |
Department | SCH OF COMMUNICATIONS |
Course Level | 000-level |
| 100-level |
| 200-level |
| 300-level |
| 400-level |
Scheduled Hours | 0.1-HIGH |
(Note that in this case the summary also shows the criterion "Scheduled Hours: 0.1-HIGH". This is
a default setting for the Section Table Generator. It causes only "for-credit" courses to be included.
If you want, you can clear this criterion or replace it with one that suits your data needs.)
About term (semester) selection
You can generate tables with GVSU section data from a single semester or
from multiple semesters. By default, tables will include data from the most recent semester.
Note that selecting more than one term in this step will not automatically result
in a table that shows trend data. You must also include Term as a table element
(That is, the Term pod should be in the table diagram). If you use multiple terms' data, but do not
specify TERM as a table variable, data will be aggregated across terms.
Formatting variables:
With many variables, you have a choice about how the values will be categorized in your
table. This allows you much more flexibility to create the table precisely the way you
need it. For example, if you need to know about sections with less than 15 seats, the default
categories (below, left) don't give you the information you need. You can use the formatting
window for Number of Seats to tell the table generator to use a single cutpoint at 15,
and your table will have just two age categories -- representing "Under 15" and "15 and More".
|
| Number of Sections |
|---|
| Number of Seats |
| 0 -< 10 | 341 |
| 10 -< 20 | 529 |
| 20 -< 30 | 1521 |
| 30 -< 40 | 1127 |
| 40 -< 50 | 378 |
| 50 -< 60 | 105 |
| 60 -< 70 | 15 |
| 70 -< 80 | 34 |
| 80 -< 90 | 21 |
| 90 -< 100 | 15 |
| 100 -< 110 | 21 |
| 110 -< 120 | 7 |
| 120 -< 130 | 13 |
| 140 -< 150 | 9 |
| 150 -< 160 | 10 |
| 200 -< 210 | 3 |
| 220 -< 230 | 1 |
| 230 -< 240 | 1 |
| 240 -< 250 | 4 |
| 250 -< 260 | 1 |
| 300 -< 310 | 1 |
| Total | 4157 |
|
|
| Number of Sections |
|---|
| Number of Seats |
| . -< 15 | 663 |
| 15 + | 3494 |
| Total | 4157 |
|
There are two types of formatting windows you may encounter. A few variables have a
limited number of formatting options available, and their formatting windows present a
drop-down list with the choices. In the Section Table Generator, Course Level and
Instructor Rank are the only variables with these special formatting options. The formatting
details are described in the data dictionary entry: Course Level
Instructor Rank.
The other type of formatting window appears for continous variables -- that is, variables like
Student Credit Hours or Enrollment that can take any value within an expected
range. For these variables a default rule for separating the values into categories has been
assigned (these are described in the variables' data dictionary entries), but you can apply a
customized formatting rule if you want.
The custom formatting rule for a continuous variable can take either of two forms: a list
of specific cutpoints, or an interval for equal-size ranges.
- To designate specific cutpoints, simply type the cutpoints in ascending order, separating
the values with commas. For example if you want to see data about three groups of sections --
those worth 0 credits, those worth 1 to 3 credits, and those worth 4 or more credit hours -- you
would type "1,4" (without the quotation marks) in the formatting window for Scheduled Hours.
- To designate intervals, you use the form "byRatL", where R is the size
of each range and L is the low end of the lowest interval. For example "by10at15"
specifies that each of the categories should span 10 units (let's say students, in the case
of Enrollment), and the lowest 10-student range should start at 15. This would result in
categories like 15-<25, 25-<35, 35 -<45, etc. Note that any values that are less
than L will still be reported in a catch-all category labeled ".-<15". Either
R or L or both can be a negative number or a decimal, but they cannot contain
letters, special symbols (other than "-" and "."), or spaces. (Quotation marks in these
instructions are for clarity -- you should not type them in the formatting window.)
The labeling for the categories created for continuous variables can be confusing. They take
a form like "25-<35" which means "25 up to but not including 35". This is ugly and
confusing, but it's necessary to account for the possibility that someone could have a value
of 34.9. If we labeled the categories "25 - 34" and "35 - 44", it would be more pleasing to
the eye, but it would not be clear what we should do with 34.9. In the table generator, formatting
categories (unlike selection ranges) always include their lower bound but exclude
their upper bound.
The lowest possible category for continuous variables will always have a period (.) as its lower bound.
(This is the lowest possible category -- it will not necessary appear on your table, since
categories that are empty are not printed.) The period represents missing data, meaning that
the university does not know (or did not know at the time the data were captured) the value for
that variable for one or more sections. Missing values are always the lowest possible
value for the variable, so if it's important to distinguish between missing values and very low
values, make sure you designate a cutpoint that will be lower than the lowest valid value you
might find. Most of the default formats are already set up this way, so it should only be
custom-formatted variables that require attention to this detail.
Consolidating cross-listed sections
Some Grand Valley course sections are "cross-listed" -- a single section is listed in the course
catalog under more than one section ID. By default, section characteristics are tabulated separately
for each listing -- e.g. AAA 352 A and WGS 352 A are counted as two separate sections, even though they
actually meet in the same room, at the same time, etc..
You have the option of treating cross-listed sections as a single section. To do so, check the appropriate
box in the "Table Options" section of the main Section Table Generator window. Sections will be tabulated
according to the characteristics of the "master" section record (as designated in the SIS system), but enrollment
and capacity data will reflect the combination of all appropriate section listings. For example, the tables on the
left pane below show results using the default behavior of not consolidating listings. The example on the
right shows the same data, but with cross-listed sections combined. Notice that a message appears below the
"Record Selection Criteria" table to remind you that cross-listed sections have been consolidated.
| Data Type |
Student Credit Hours | Enrollment | Number of Seats |
| Section ID |
| AAA 352 A | 57 | 19 | 15 |
| GPY 352 A | 105 | 35 | 35 |
| MKT 352 A | 120 | 40 | 40 |
| WGS 352 A | 42 | 14 | 15 |
| Total | 324 | 108 | 105 |
Summary of Record Selection Criteria
| Characteristic | Selected Values |
Term |
Fall 2005 |
Section ID |
* 352 A |
Scheduled Hours |
0.1-HIGH |
|
| Data Type |
Student Credit Hours | Enrollment | Number of Seats |
| Section ID |
| AAA 352 A | 99 | 33 | 30 |
| GPY 352 A | 105 | 35 | 35 |
| MKT 352 A | 120 | 40 | 40 |
| Total | 324 | 108 | 105 |
Summary of Record Selection Criteria
| Characteristic | Selected Values |
Term |
Fall 2005 |
Section ID |
* 352 A |
Scheduled Hours |
0.1-HIGH |
Note that cross-listed courses are consolidated and categorized under the characteristics of the "master" section record.
|
Data Dictionary:
Following is a list of data elements available in the
Section Table Generator. A list or range of the extant values is given for each
element. Definitions or explanations are provided for selected elements/values.
Term
The semester in which the section was offered. For terms which have had an official census, data reflect status
as of the census date for that particular term. Otherwise data reflect status as of the date reported in the
Record Selection Criteria table.
Use of census data avoids the ambiguities that result from reporting directly
from a constantly changing database. Results of table generator queries are stable for
terms with census data -- you will get the same results today as you got yesterday if you use the same
parameters. A downside to the use of census data is that data that are incomplete or incorrect when
they are captured are not changed to reflect subsequent improvements.
Provisional data for upcoming or ongoing semesters is provided in response to user demand, but please bear in mind
that data are in flux. Updates are captured weekly (on Monday morning), and may result in transitory results
(if you request the same parameters next week, you may not get the same tabular results).
Unlike other table generator variables, there is no "all" selection criterion for
Term. One or more terms must be specified. By default, the most recent regular academic
term (i.e. Fall or Winter) for which census data exist will be selected.
Back to variable list
College
This is the college (within GVSU) responsible for the course offering. At present, all offerings are
assigned to the post-reorganization college that is responsible for the course.
There is currently no way to use the Section Table Generator to summarize data according
to the organizational structure that existed prior to 2004.
The extant values for College are:
- COLLEGE OF COMMUNITY AND PUBLIC SERVICES
- COLLEGE OF HEALTH PROFESSIONS
- COLLEGE OF LIBERAL ARTS AND SCIENCES
- COLLEGE OF EDUCATION
- UNIVERSITY-WIDE INTERDISCIPLINARY INITS
- KIRKHOF COLLEGE OF NURSING
- PADNOS COLLEGE OF ENGIN. AND COMPUTING
- SEIDMAN COLLEGE OF BUSINESS
Back to variable list
Department
This is the academic department responsible for the course offering. This may be different
from the instructor's assigned department (see Instructor Department
below). This also differs from the Course Prefix in some cases, since several
academic departments offer courses in more than one content area with different prefixes
-- e.g. CBR (Broadcasting) and CPH (Photography) courses are both offered (among others)
by the School of Communications.
Back to variable list
Course Prefix
This is the first 3 letters in the course or section ID, representing the general content
area of the course. Note that multiple prefixes / content areas can be offered by a
single Department (see above).
EXAMPLE: the prefix for PLS 211 A is PLS
Back to variable list
Course Level
This is a broad categorization of the course call number, representing the approximate
level of difficulty or sophistication of the course. Courses with higher levels are
presumed to be more advanced than those at lower levels. There are three possible levels
of aggregation for Course Level. The following table summarizes those levels of
aggregation and the associated categories of courses:
| By 100's (default) | 000-Level |
| 100-Level |
| 200-Level |
| 300-Level |
| 400-Level |
| 500-Level |
| 600-Level |
| 3 categories | Lower-Division (000-299) |
| Upper-Division (300-499) |
| Graduate (500-699) |
| 2 categories | Undergraduate |
| Graduate |
To specify a level of aggregation, choose "Control the way values will be grouped in the
table..." from the pod options menu. The pod must be located in a PAGE, COLUMN, or ROW
slot for this option to appear. (See Formatting Variables for more
details.)
Back to variable list
Course ID
This is the 7-character course ID. The numeric potion of the course ID should always start
in the 5th position (e.g. "NUR 400", not "NUR400" and "ED 330", not "ED330" or
"ED 330"). This distinction is only important for you if you use Course ID for
record selection (see Record Selection above).
EXAMPLES: WRT 305; BIO 205; MKT 655
Back to variable list
Section ID
This is the full ID of the section, including the prefix, course number, and section code.
Combined with Term, the section ID uniquely identifies a course section. As with
Course ID above, the presence of spaces is important: the numeric portion
should start in the 5th position and the section code should start in the 9th position.
Most section IDs are either 9 or 10 characters long, depending whether they have a
one-character or a two-character section code. These distinctions are only important
for you if you use Course ID for record selection (see Record
Selection above).
EXAMPLES: WRT 305 H; BIO 205 A1; MKT 655 A
Back to variable list
Instructor Rank
The rank and appointment type of the faculty member assigned to teach the section.
Faculty with regular appointments are categorized by rank, while all others are
categorized by type of appointment (i.e. adjunct, affiliate, or visitor). Sections without
assigned instructors ("Staff" sections) are counted under "Adjunct". Please note that
faculty rank data from semesters prior to fall 2004 are somewhat tenuous. Subsequent data
should be much more reliable. There are two levels of aggregation available for reporting
Instructor Rank. The default is to show the levels in relative detail, while the
alternative groups faculty by appointment type as follows:
| Default | Alternative |
| Adjunct Professor | Adjunct |
| Visiting Professor | FT Non-Tenure-Track |
| Affiliate Professor |
| Instructor | Tenured / Tenure-track |
| Assistant Professor |
| Associate Professor |
| Professor |
An instructor's rank is determined once per year, on September 30th. For the most part, this
yields accurate data for semesters that are over or in-progress, because faculty appointments
typically run August through August. Note however that rank data for upcoming semesters are
approximate only, since promotions and changes in appointments that occurred or will occur after
the last Sep 30 census will not be reflected.
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Instructor Department
This is the academic department in which the assigned instructor has his or her primary
assignment. This may be different from Department, the department responsible for
the course. Sections without assigned instructors ("Staff" sections) are assigned to
the course's department. An instructor's home department is determined once per year, on
September 30th. For the most part, this yields accurate data for semesters that are over or
in-progress, because faculty appointments typically run August through August. Note however
that Instructor Department data for upcoming semesters are approximate only, since
changes in appointments that occurred or will occur after the last Sep 30 census will not be
reflected.
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Instructor
The instructor assigned to the section in the university's SIS records. Despite insistence
by the Records office that all sections have their instructors attributed correctly, there
are still some sections assigned to "STAFF." Since Table Generator data are reflective of
data as they exist on the census date for the term (generally 1 week into classes), they are not
corrected retroactively -- if a section appears as staff and you know who the real instructor was,
it's too late to fix the table generator data, but please encourage department and college
administration and staff to submit correct and timely information for future terms.
Names are formatted LAST, FIRST.
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Section Location
The GVSU campus on which the course was offered. Note that distance education sections often require
one or more "face-to-face" meetings, in which case, the course is categorized according to the location
of those meetings. Sections without scheduled meetings are generally counted as if they occur at
Allendale. Extant values are:
- ALLENDALE CAMPUS
- GRAND RAPIDS CAMPUS
- MUSKEGON
- OTHER GRAND RAPIDS LOCATIONS
- HOLLAND
- OUT OF COUNTRY
- OTHER MICHIGAN LOCATIONS
- TRAVERSE CITY
- OUT OF STATE
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Building
The 3-letter abbreviation for the building in which the section meets. Sections with more than one
meeting place scheduled are categorized in the building containing their primary meeting space (the
one listed first). Following is a list of codes and building names:
| ANN | Arts Annex (Allendale) |
| ASH | Au Sable Hall (Allendale) |
| CAC | Calder Art Center (Allendale) |
| CHS | Center for Health Sciences (Grand Rapids) |
| DEV | DeVos Center (Grand Rapids) |
| EC | Eberhardt Center (Grand Rapids) |
| FH | Field House (Allendale) |
| HOL | Meijer Campus (Holland) |
| HRY | Henry Hall (Allendale) |
| KC | Kirkhof Center (Allendale) |
| KEB | Keller Engineering Bldg. (Grand Rapids) |
| LHH | Lake Huron Hall (Allendale) |
| LMC | Lake Michigan Center (WRI) (Muskegon) |
| LMH | Lake Michigan Hall (Allendale) |
| LSH | Lake Superior Hall (Allendale) |
| LTT | Loutit Lecture Halls (Allendale) |
| MAK | Mackinac Hall (Allendale) |
| MAN | Manitou Hall (Allendale) |
| MCC | Muskegon Community College (Muskegon) |
| MRC | Michigan Alternative & Renewable Energy Ctr (Muskegon) |
| NMR | Niemeyer Living Center (Allendale) |
| PAC | Performing Arts Center (Allendale) |
| PAD | Padnos Hall (Allendale) |
| SAA | ?? |
| SSM | Lake Superior State University (Sault Ste. Marie) |
| TBA | To be announced |
| TC | Traverse City |
| WRI | Water Resources Institute (Muskegon) |
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Night / Weekend
Sections with scheduled meeting times beginning at 6:00 PM or later are considered evening courses.
Any sections with scheduled meetings on Saturday or Sunday are labeled as "weekend courses". Any sections
that meet both of these criteria, and are labeled "Both".
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Instruction Type
This the instructional activity type recorded for the section in SIS. Extant values are:
- CLINICAL STDY
- DISCUSSION *
- FIELD STUDY
- INDEP STUDY
- INTERNSHIP
- INDEP READING
- INTL STUDIES
- LABORATORY *
- LEC-DISC *
- LECTURE *
- LEC & LAB *
- PRACTICUM
- RESEARCH
- REHEARSAL *
- SEMINAR *
- STUDIO *
Types marked with asterisks (*) are those with formal meeting patterns (i.e. the instructor and all students
meet in scheduled sessions. Reports considering section size should generally only include these instruction
types. For example, the pre-defined table layout "Listing of very small sections" includes only those 8 types.
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Gen-Ed - Foundations
Indicates any GVSU General Education Foundations category to which the section can be applied. The
categories are:
- THE ARTS
- PHILOSOPHY AND LITERATURE
- HISTORICAL PERSPECTIVES
- MATHEMATICAL SCIENCES
- PHYSICAL SCIENCES
- LIFE SCIENCES
- SOCIAL & BEHAVIORAL SCIENCES
Courses which do not apply towards a Foundations requirement have a blank value.
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Gen-Ed - Cultural
Indicates any GVSU General Education Cultural Emphasis category to which the section can be applied.
The categories are:
- WORLD PERSPECTIVES
- US DIVERSITY
Courses which do not apply towards a Cultural Emphasis requirement have a blank value.
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Gen-Ed - Themes
Indicates any GVSU General Education Theme to which a course can be applied. The themes are:
- CHANGING IDEAS: CHANGING WORLDS
- EARTH AND ENVIRONMENT
- ETHICS
- FREEDOM AND SOCIAL CONTROL
- GENDER, SOCIETY AND CULTURE
- MAKING WAR AND PEACE
- PERSPECTIVES FROM THE OUTSIDE
- RELIGION
- REVOLUTION AND EVOLUTION IN THE AMERICAS
- SOCIETY AND MEDIA
- THE HUMAN JOURNEY
- THE U.S. CIVIL RIGHTS MOVEMENT
- DEATH AND DYING
- GLOBAL CHANGE: INTEGR. AND FRAG.
- HEALTH, ILLNESS, AND HEALING
- CITIES
- CREATIVITY: IDEAS & INNOVATION
- PERCEPTION
- THE AMERICAN MOSAIC
- DEMOCRACY
- SPORT & LIFE
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SWS
Indicates whether a section satisfies the General Education "Supplemental Writing Skills" requirement.
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Number of Seats
The maximum enrollment allowed for the section. When used as a data variable, aggregation will be the sum
across any applicable sections. The default formatting when used as a categorical (i.e. row, column, or page)
variable is by10at0 -- [0-9,10-19,20-29,...]. You can modify the formatting using the
variable formatting window.
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Student Credit Hours
The total student credit hours (i.e. number of students times number of credit hours per student) generated by
the section. Data reflect official census enrollment or enrollment as of the date specified in the Record Selection
Summary table. Any drops/adds that occur after the census are not reflected in Table Generator data. When used as a
data variable, aggregation will be the sum across any applicable sections. The default formatting when used as a
categorical (i.e. row, column, or page) variable is by10at0 -- [0-9,10-19,20-29,...]. You can modify the formatting
using the variable formatting window.
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Scheduled Hours
The number of credit hours awarded to any single student upon completion of the section. When used as a data
variable, aggregation will be the sum across any applicable sections. The default formatting when used as a
categorical (i.e. row, column, or page) variable is by1at0 -- [0,1,2,3,...]. You can modify the formatting
using the variable formatting window.
By default, non-credit sections are excluded from Section Table Generator tables You can clear this
selection criterion by selecting the appropriate option from the options window, or specify an alternative
criterion in the record selection window.
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Enrollment
The number of enrolled students on the census date for the term or the date specified in the Record Selection
Summary table. Any drops/adds that occur after the census are not reflected in Table Generator data. When
used as a data variable, aggregation will be the sum across any applicable sections. The default formatting
when used as a categorical (i.e. row, column, or page) variable is by5at0 -- [0-4,5-9,10-14,...]. You can
modify the formatting using the variable formatting window.
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Number of Sections
The number of sections that meet the given criteria. This is the default data variable for Section Table
Generator tables.
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Data Variables
This pod is a placeholder that controls how the multiple data
variables will be dispayed in your table. You can move it around in your table (to other
"Column", "Row", or "Page" slots), but the only way to remove it from the table is to
remove "Data" variables until only one "Data" slot is occupied, at which time the Data
Variables pod will disappear. The Data Variables pod will initially be placed
in an empty "Column", "Row", or "Page" slot if possible. If all of those slots are filled,
Data Variables will displace the pod in the second "Column" slot.
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